Artificial Intelligence Jobs in Cambridge, MA

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Consult with manufacturing clients to analyze processes, identify bottlenecks, and develop strategies to improve speed to market, reduce costs, and enhance quality. Implement lean and Six Sigma methodologies, optimize supply chain integration, leverage digital technologies, conduct feasibility and market analyses, manage project resources, and advise on compliance while building client relationships and developing team leadership skills.

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Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Lead creative strategy for paid social campaigns by turning audience insights, performance data, and cultural trends into high-performing creative. Build briefs, testing frameworks, and a centralized learnings library; partner cross-functionally and with agencies; run strategy sessions; and adopt emerging technologies, including AI, to improve ideation and optimization.

Support procurement intake, supplier onboarding, contract and purchasing workflows, and procurement technology administration. Produce spend and supplier performance analysis, maintain procurement data and dashboards, monitor service levels and compliance, and drive automation and continuous-improvement initiatives to streamline procurement operations.

Lead scientific communications and external engagement for Click's digital therapeutics pipeline; publish and present clinical evidence; build KOL relationships; provide scientific support for business development and partnerships; and collaborate cross-functionally with product, clinical, and regulatory teams to align development with clinical evidence and market access requirements.

Own end-to-end software capitalization and related prepaids/accruals, prepare journal entries and reconciliations, support month-end close and audits, partner cross-functionally, analyze results, and drive process improvements using automation and AI.

Lead enterprise strategy and hands-on delivery of AI-enabled solutions across clinical development. Partner with clinical, biostatistics, data science, regulatory, and digital teams to design, validate, deploy, and govern AI/ML, generative and agentic AI, predictive analytics, and workflow automation to improve trial design, operations, regulatory readiness, and decision-making. Build cross-functional teams, engage regulators and external partners, and drive organizational adoption and governance.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Conduct applied research to design, train, evaluate, and deploy AI foundation models and recommendation/personalization systems. Collaborate with cross-functional teams to build models at scale using PyTorch, cloud infrastructure, and open-source tools. Publish research, deliver platform-level code, and drive long-term research agendas to improve customer experiences.

Lead company-wide AI transformation from fluency to measurable business impact. Build agentic workflows and enablement, coach leaders and teams, advise the CEO, manage budget and platform economics, define and grow the AI function, and run the operating rhythm that drives adoption and scale across the organization.

Lead and manage cross-firm AI in Operations program initiatives: develop strategic plans, apply structured problem-solving and design thinking, support multiple workstreams, engage senior stakeholders, standardize AI use cases, and drive scaling and reimagination of AI capabilities across operations.

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Lead Oncology AI product strategy and a cross-functional AI engineering team to translate scientific needs into scalable AI solutions across discovery, clinical development, and real-world evidence. Define roadmaps, governance, success metrics, stakeholder engagement, and adoption to move AI initiatives from pilots to sustained impact.

Design and prototype AI-powered solutions (LLMs, agents, prompts) to solve creative and operational problems, integrate AI with internal data and APIs, enable teams through documentation and training, and partner with engineering to productionize scalable workflows across Services.

Design and prototype AI-powered solutions for Customer Success using LLMs and automation. Translate business needs into roadmaps, build prompts/agents/ retrieval workflows, integrate APIs and internal data, enable teams with documentation and training, and partner with engineering to productionize scalable AI systems.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

Lead design and delivery of internal platforms, APIs, data/event pipelines, and AI-powered systems. Drive cross-team architectural direction, operational excellence (SLOs, monitoring, incident response), and mentor senior engineers while establishing standards, AI guardrails, and scalable reference implementations to improve productivity and reliability across the organization.