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Lead AI strategy and adoption initiatives by aligning technical teams, business stakeholders, and senior leadership. Translate business needs into actionable requirements, manage complex delivery risks and dependencies, communicate technical trade-offs, and support AI solutions from proof of concept through production. Drive change management, stakeholder alignment, adoption, and long-term business value across ambiguous, cross-functional environments.

Define and drive architecture for end-to-end AI and data platforms on Azure. Establish standards, governance, and scalable cloud-native AI solutions; evaluate emerging AI technologies; translate business needs into technical designs; mentor engineering and data teams; ensure platform performance, security, and compliance.

Leads complex AI and data strategy consulting engagements from vision through value realization. Oversees multi-stream programs, advises C-level stakeholders, ensures delivery quality and ROI, grows strategic accounts through upselling and cross-selling, and mentors Engagement Managers. Translates AI/ML and data platform concepts into business value while supporting client relationships, business development, and strategic problem-solving.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop scalable solutions, oversee high-quality consulting delivery, build long-term client relationships, generate new business, and manage cross-functional engagement teams and multimillion-dollar client portfolios.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop client solutions, and guide implementation and scaling. Build new business opportunities, manage long-term client relationships and multimillion-dollar portfolios, lead cross-functional engagement teams, and ensure high-quality analytical deliverables. Contribute to practice development and organizational growth.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop client relationships, generate consulting business, oversee major client portfolios, and guide cross-functional teams in designing, implementing, and scaling AI and data solutions.

As a Lead Data Engineer, you will design, build, and maintain scalable data platforms, assess data landscapes, and collaborate with stakeholders to translate requirements into robust data solutions.

Serve as the bridge between engineering and business to deliver AI products from PoC to production. Translate business needs into product requirements, manage planning and prioritization, challenge technical decisions for scalability, mitigate risks and dependencies, and maintain stakeholder alignment and delivery cadence across cross-functional teams.

The Staff AI Engineer will lead complex ML projects, mentor engineers, and drive adoption of ML best practices while ensuring architectural excellence. This role balances hands-on coding with strategic leadership and client collaboration.

Design and deliver end-to-end AI solutions from proof-of-concept to production on Azure. Architect GenAI, RAG, AI agents and ML systems, define standards and governance, guide engineering teams on MLOps/LLMOps, security and deployment, evaluate emerging AI technologies, and mentor engineers.