Top AI Specialist Jobs in Boston, MA

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Adoption Specialist guides organizations in integrating AI technologies, developing strategies, conducting pilots, and overseeing deployment while monitoring performance.

Review customer source documents and validate Prox AI agent outputs. Test demo agents, verify citations and visual artifacts, flag missing or incorrect specs, write actionable feedback, prepare demo and trial workspaces, and keep tasks updated in Attio/Slack.

The Automation / AI Specialist will design and maintain automated workflows, develop AI agents, integrate APIs, and troubleshoot technical issues in a remote environment.

Design and maintain automated workflows using n8n, develop AI agents and tools, integrate APIs, optimize systems, and troubleshoot issues.

The AI Enablement Specialist will drive AI adoption, provide support and training to users, identify efficiency opportunities, and partner with leadership to implement high-impact AI solutions.

The Specialist Solutions Architect will guide customers in architecting ML & AI applications, provide advanced technical support, and collaborate cross-functionally to enhance Databricks' AI offerings.

Embed with business teams to design and build AI-powered tools, automations, and workflows; coach and enable staff; create reusable solutions, documentation, adoption metrics, and governance; mentor junior members and translate AI developments into practical enterprise applications.

The role involves designing and implementing automation systems, improving workflows, and developing tools for sales support using AI and automation platforms.

Design and build AI- and automation-driven solutions to accelerate Mortgage Cadence Platform configuration using LLMs and workflow automation. Develop integrations with system APIs, partner with implementation teams, create documentation and training, and propose new tools to improve implementation accuracy and scale.

The SAP AI Specialist will integrate AI within SAP systems, optimizing capabilities using SAP Joule and BTP AI services, and developing predictive analytics and automation solutions.

Design, develop, and deliver AI upskilling programs and materials, coach teams and leaders on applying AI, consult with stakeholders to identify learning needs, run pilots, measure impact, and embed AI into workflows and talent strategy across the organization.

Evaluate and improve AI-generated English (US) text for grammar, linguistic accuracy, and cultural appropriateness. Provide rewritten responses, create natural prompts and responses, perform preference ranking and grammaticality checks, and deliver clear constructive feedback while collaborating with global teams to enhance conversational AI datasets.

The AI Implementation Specialist analyzes client workflows, identifies automation opportunities, designs and implements AI-driven solutions to enhance business efficiency and productivity.

Design, build, and deploy production AI systems and integrations (LLM-based) for law-firm clients. Create connectors, automation workflows, agents, and enablement programs, embed AI into client processes, and support internal AI adoption.

PhD-level physicists will design challenging graduate-level physics problems and contribute high-quality datasets to improve AI model reasoning, ensuring scientific rigor and consistency while collaborating remotely and asynchronously.

PhD-trained STEM experts will design challenging domain-specific problems and datasets to improve large language model reasoning and accuracy. Work remotely, collaborate asynchronously, review and refine technical content, and adhere to structured guidelines. Ongoing independent-contractor role, 15–20 hours/week (up to 40), paid weekly.

Partner with research teams to design and evaluate complex, real-world operations tasks and solutions, provide actionable feedback, and improve LLM performance by contributing high-quality training and evaluation data.

Apply deep management consulting and corporate strategy expertise to improve generative AI LLMs: identify knowledge gaps, create annotation standards and evaluation rubrics, review consulting tasks, provide feedback, and collaborate with research teams to boost model reasoning and performance.

Provide supply chain, procurement, manufacturing, and logistics domain expertise to improve generative AI training data: create annotation standards, design real-world tasks, evaluate outputs, and collaborate with research teams to close knowledge gaps and improve model performance.

Design realistic, specialty-specific clinical case scenarios and gold-standard attending-level responses, evaluate and grade AI-generated outputs using structured rubrics, provide detailed written feedback to improve model clinical reasoning, and participate in onboarding, calibration, and review sessions in a fully remote, asynchronous contractor role (~20 hours/week).

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.