Artificial Intelligence Jobs in Cambridge, MA

The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.

The Senior AI Engineer will develop and deploy AI solutions, improve operational efficiency, and ensure production-grade AI services for Long-Term Care. Responsibilities include building ML pipelines, monitoring models, collaborating with teams, and ensuring compliance and governance.

Lead development and deployment of AI/ML solutions for target discovery, translational research, and biomarker identification. Partner with scientists and data engineers to build scalable workflows for multimodal biological data, promote reproducibility and model validation, mentor colleagues, and recommend emerging AI applications to accelerate discovery.

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.

Evaluate AI model outputs, perform audit-based reviews, apply and improve guidelines, identify trends and failure modes, document findings, and collaborate with leads and cross-functional teams to refine quality standards.

As AI Research Scientist I, you will propose AI solutions, apply ML models in drug design, publish papers, and collaborate in a fast-paced environment.

The intern will assist with AI research and development, including prototyping AI models, collaborating on projects, and documenting findings.

The AI Solutions Director manages AI POD teams, leading complex customer pursuits, ensuring pipeline growth, revenue attainment, and mentoring team members in consultative selling.

The AI Solutions Architect specializes in pre-sales technical solutions for AI platforms, collaborating on architectural designs, conducting customer engagements, and ensuring seamless transitions to delivery teams.

The AI Services Consultant develops and positions AI consulting services, collaborates across teams, and manages client engagements to unlock AI potential and drive value through structured proposals and delivery.

The AI Solutions Architect engages in technical pre-sales, designing AI architectures, conducting technical discovery sessions, and collaborating on proof-of-concept projects while ensuring smooth transitions to delivery teams.

The AI Services Consultant scopes and positions AI consulting engagements, collaborates with sales and delivery teams, and develops service proposals to drive AI initiatives and infrastructure investments.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

The AI Solutions Executive drives AI sales by generating opportunity pipelines, implementing effective sales strategies, and collaborating with field teams to close various AI solutions.

The AI Development Specialist enables enterprise development teams by selling coding assistant and AI-native engineering solutions while collaborating with NVIDIA teams to enhance application performance.

The AI Solutions Executive generates and closes AI pipeline, collaborates with field sales, builds customer relationships, and delivers tailored presentations and proposals.

Manage analysts and vendor relationships, oversee data budget, develop integration roadmap, and evaluate new data services including Proofs of Concept.

The Lead AI Product Manager will drive AI innovation by guiding cross-functional teams in developing AI-powered solutions, managing product strategy, and ensuring alignment with business objectives to enhance healthcare services.

The Technical Program Manager will lead AI data generation projects, ensuring consistent quality and efficient execution while communicating across teams.

Lead and manage the AI Data Engine team, focusing on ML dataset generation and acceleration of data pipelines while collaborating with cross-functional teams.

Senior SDE responsible for designing and owning AI-driven, multi-agent systems and cloud services. Build agentic workflows, lead internal AI enablement, design resilient cloud infrastructure, optimize CI/CD, ensure security and observability, mentor junior engineers, and own incident response and long-term system reliability.

Design and deploy generative AI and multi-agent conversational systems for healthcare. Curate and extract clinical variables from unstructured EHR and claims data using LLMs and NLP. Build automated evaluation pipelines for agent safety, accuracy, and compliance. Ensure data privacy and validation for production releases and communicate results to cross-functional audiences.

The Head of AI will lead AI/ML strategy, manage teams, and oversee the development of AI solutions for infrastructure mapping.

The Principal Robotics Application Engineer will lead technical strategies and influence customer solutions in robotics, working across teams to match customer needs with ADI's technology offerings.

Design, build, and operate production AI infrastructure: architect reusable IaC (Terraform/Crossplane), implement GitOps with FluxCD, create advanced ADO pipelines, resolve complex AKS issues, implement workload identity, define observability, perform technical reviews, and mentor junior engineers.