Azure & Fabric Solution Architect (Chicago)

A BIT ABOUT WAVICLE Wavicle Data Solutions is a founder-led, high-growth consulting firm helping organizations unlock the full potential of cloud, data, and AI. We’re known for delivering real business results through intelligent transformation—modernizing data platforms, enabling AI-driven decision-making, and accelerating time-to-value across industries. At the heart of our approach is WIT —the Wavicle Intelligence Framework. WIT brings together our proprietary accelerators, delivery models, and partner expertise into one powerful engine for transformation. It’s how we help clients move faster, reduce costs, and create lasting impact—and it’s where your ideas, skills, and contributions can make a real difference. Our work is deeply rooted in strong partnerships with AWS, Databricks, Google Cloud, and Azure , enabling us to deliver cutting‑edge solutions built on the best technologies the industry has to offer. With over 500 team members across 42 cities in the U.S., Canada, and India, Wavicle offers a flexible, digitally connected work environment built on collaboration and growth. We invest in our people through: Competitive compensation and bonuses Unlimited paid time off Health, retirement, and life insurance plans Long‑term incentive programs Meaningful work that blends innovation and purpose If you’re passionate about solving complex problems, exploring what’s next in AI, and being part of a team that values delivery excellence and career development—you’ll feel right at home here. THE OPPORTUNITY We are seeking a Solution Architect with a background in Azure data and analytics services. This would include expertise in Azure cloud platform, ADF, Synapse, Fabric, Purview, and like. We are looking for a person with experience in technical assessments, solutions, migration and expertise in the Azure ecosystem, especially around Fabric and Synapse. The ideal candidate combines strong technical knowledge of data, analytics and AI with experience in cloud-native architectures in Azure. You will work with our Sales team for related pursuits, lead delivery, and thought leadership for Wavicle. You will interact with leadership both at our Clients and Partners. KEY RESPONSIBILITIES Solution Architecture & Design Lead the approach and design for cloud native architectures around Azure and specifically Fabric Define architecture blueprints, design patterns, and technical roadmaps aligned to client business goals. Collaborate with delivery teams to ensure seamless transition from pre‑sales to implementation. Lead solution architect for our clients and projects related to Azure. Pre‑Sales & Executive Engagement Partner with sales to identify opportunities, shape proposals, and present Azure-native solutions that resonate with both technical and business audiences. Represent Wavicle in presentation and meetings with Senior Leadership and C‑Suite. Lead client workshops and executive briefings to define technology vision and roadmap. Contribute to proposals focused on approach, solution, scope and estimates. Thought Leadership Stay current on Azure, Fabric and like . Champion these services internally and with Clients. Present and lead marketing initiatives like Webinars around the same topics. Represent Wavicle at client meetings, industry events, and technology forums. Collaboration & Enablement Work cross‑functionally with sales, delivery, and practice Leverage team resources from both onshore and offshore Mentor junior architects and engineers to build enterprise‑ready communication and solutioning skills in Azure-native architectures . QUALIFICATIONS 10 years of experience in technology architecture, cloud solutions, or data/analytics. 5 years designing and implementing cloud-native solutions on Azure Service based services. Experience presenting and interacting with Senior Leadership and C‑Suite at Clients and Partners. Strong pre‑sales experience including proposal development, scoping, and solution storytelling. Deep understanding in data/analytics cloud-based architecture in Azure Excellent written and verbal communication skills with the ability to tailor messages for executive, business, and technical audiences. Experience in consulting or professional services preferred. Relevant certifications ( Azure Solutions Architect Expert, Azure Developer Associate, or data/analytics related certifications ) are a plus. $180,000 - $220,000 a year EQUAL OPPORTUNITY EMPLOYER Wavicle is an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We welcome and encourage diversity in the workplace regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status. J-18808-Ljbffr

Sr. Manager, AI Engineering (Boston)

About The Role Blue Cross Blue Shield of Massachusetts is seeking a transformative Senior Manager of AI Engineering to lead the technical strategy and execution of our next-generation agentic AI systems. In this high-impact role, you will define the technical architecture, frameworks, and best practices that will shape the future of our AI-driven solutions. The ideal candidate is a strategic leader with deep technical expertise who can provide clear vision and mentorship to a talented AI development team. You will be responsible for ensuring our agentic systems are scalable, robust, and secure, driving innovation while maintaining the highest standards of engineering excellence. This role is eligible for our Flex Persona for candidates local to our Boston, MA office. What You'll Do Define the Strategic Vision: Establish and champion the strategic and technical vision for the AI engineering team, ensuring it aligns perfectly with our broader business objectives. Architect for Scale: Design scalable, robust, and resilient agentic architectures, leveraging advanced AI capabilities and seamless external integrations. Set the Standard for Excellence: Establish, enforce, and refine coding standards, development guidelines, and engineering best practices for the entire AI agent ecosystem. Lead and Mentor: Provide strong technical leadership, hands‑on guidance, and active mentorship to the AI development team, fostering a culture of innovation and continuous improvement. Drive Innovation: Lead research and evaluation of new agentic technologies, emerging AI/ML models, and cutting‑edge tools to keep our solutions at the forefront of the industry. Ensure System Integrity: Take ownership of the security, performance, and reliability of all agentic solutions, implementing governance and best practices across the board. Manage Agile Teams: Effectively manage engineering teams within a matrix delivery organization, utilizing Agile methodologies to ensure efficient and predictable execution. What You'll Bring (Required Qualifications) A Bachelor's degree in Computer Science, Engineering, or a related technical field. 8‑10 years of progressive leadership experience, with a proven track record in both functional and people management roles. 5 years of experience managing technical teams within a matrix delivery organization using Agile methodologies. Demonstrated experience defining a strategic technical vision and successfully aligning engineering teams with business goals. Strong background in designing scalable agentic architectures and establishing development best practices. Solid understanding of core AI/ML concepts, including model training, Retrieval‑Augmented Generation (RAG), and major AI platforms (AWS, Azure, Google Cloud). Deep expertise in Governance, Information Security, Solution Architecture, and Systems Integration. Hands‑on programming skills in languages such as Python, R, or Java for building and implementing AI models. What Will Make You Stand Out (Preferred Qualifications) Proven experience developing and deploying agentic AI solutions on one or more leading cloud platforms (AWS, Azure, or GCP). Practitioner‑level or Professional‑level cloud certifications (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect). Minimum Education Requirements High school degree or equivalent required unless otherwise noted above. Location Boston Time Type Full time Salary Range $173,430.00 - $211,970.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue‑based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well‑being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don’t hesitate to apply. We’d love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, your perspectives, and your experiences. It’s in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you’d like to be a part of, we’d love to hear from you. You can also join our Talent Community to stay “in the know” on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our How We Work Page. J-18808-Ljbffr

Senior ML Systems Engineer, Frameworks & Tooling (San Francisco)

Senior ML Systems Engineer, Frameworks & Tooling at Cohere Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. We obsess over what we build and work hard and move fast to do what’s best for our customers. Join us on our mission and shape the future! We’re looking for a senior engineer to help build, maintain and evolve the training framework that powers our frontier-scale language models. This role sits at the intersection of large‑scale training, distributed systems, and HPC infrastructure. You will design and maintain the core components that enable fast, reliable, and scalable model training and build the tooling that connects research ideas to thousands of GPUs. Responsibilities Build and own the training framework responsible for large-scale LLM training. Design distributed training abstractions (data, tensor, and pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing). Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100). Develop and maintain tooling for monitoring, logging, debugging, and developer ergonomics. Collaborate closely with infra teams to ensure Slurm setups, container environments, and hardware configurations support high-performance training. Investigate and resolve performance bottlenecks across the ML systems stack. Build robust systems that ensure reproducible, debuggable, large-scale runs. You Might Be a Good Fit If You Have Strong engineering experience in large-scale distributed training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. Experience working with containerized environments (Docker, Singularity/Apptainer). A track record of building tools that increase developer velocity for ML teams. Excellent judgment around trade-offs: performance vs complexity, research velocity vs maintainability. Strong collaboration skills — you’ll work closely with infra, research, and deployment teams. Nice to Have Experience with training LLMs or other large transformer architectures. Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.). Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches). Experience with data pipeline optimization, sharded datasets, or caching strategies. Background in performance engineering, profiling, or low-level systems. Why Join Us You’ll work on some of the most challenging and consequential ML systems problems today. You’ll collaborate with a world‑class team working fast and at scale. You’ll have end-to-end ownership over critical components of the training stack. You’ll shape the next generation of infrastructure for frontier-scale models. You’ll build tools and systems that directly accelerate research and model quality. Sample Projects Build a high-performance data loading and caching pipeline. Implement performance profiling across the ML systems stack. Develop internal metrics and monitoring for training runs. Build reproducibility and regression testing infrastructure. Develop a performant fault-tolerant distributed checkpointing system. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full‑Time Employees At Cohere Enjoy These Perks An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in‑office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top‑up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well‑being, quality time, and workspace improvement Remote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend ✈️ 6 weeks of vacation (30 working days!) J-18808-Ljbffr

Chief of Staff (Office of the CFO) (Palo Alto)

Navan is looking for a Chief of Staff to the CFO. This role will work in close collaboration with the company’s leadership team to drive strategic initiatives across the finance and business teams and ensure seamless executive operations. What You’ll Do Act as a trusted advisor to the CFO, providing strategic counsel and support on critical finance & business decisions Manage the CFO's office, including prioritizing topics, preparing briefing materials, and coordinating high-level meetings Manage weekly executive staff meetings including, but not limited to, setting the agenda, providing insights and analysis to inform strategic conversations and tracking follow through to increase accountability Support key strategic initiatives including board materials, investor presentations, town hall presentations, leadership meetings, and annual planning Drive best practices, communication, and coordination between our executives to enable effective collaboration across the organization Work cross-functionally with departmental leaders and stakeholders to kick-off, actionize, and provide support across key company initiatives Oversee our goal-setting process, working with our management team to set, align and track company goals Onboard key company hires (e.g., new VPs, Board members), ensuring that they have the context and support needed to successfully ramp up and perform their duties What We’re Looking For Previous experience in Chief of Staff roles, or Finance roles working closely with senior management Excellent written and verbal communication skills, and comfortable interacting with senior leaders, external partners, and staff at all levels Exceptional analytical, problem-solving, and project management skills Demonstrated ability to lead a large portfolio of strategic initiatives and projects in a cross-functional environment on tight deadlines Thrives in ambiguous situations and has a bias for action, high emotional intelligence Ability to maintain strict confidentiality and exercise sound judgment The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter. Pay Range: $121,500 USD - $270,000 USD J-18808-Ljbffr

Staff Machine Learning Engineer (Mountain View)

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. Responsibilities Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6 years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. The expected base pay range for this position is: Bay Area, CA: $197,000 - $266,500. J-18808-Ljbffr