Top AI Automation Jobs in Boston, MA

As a Senior Machine Learning Engineer, you'll build and deploy AI/ML models, design workflows, and drive product development in a startup focused on the collectibles industry.

The Senior Vice President of AI and Transformation will develop and deliver strategies for integrating AI, analytics, and automation into processes, ensuring they meet regulatory standards. This role involves partnership with leadership to enhance service quality and governance principles for responsible tech use.

Design and deploy AI-driven workflows to enhance marketing operations, collaborating with various teams to implement automation solutions and integrate with marketing ecosystems.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

Design and implement solutions for Digital Lab Operations, ensuring alignment with architecture strategy and governance standards, and collaborate with various teams to streamline processes and optimize IT solutions.

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

The role involves leading the development of AI Data Services, defining offerings, building delivery and quality systems, ensuring customer outcomes, and establishing credibility in expert data.

As Director of AI Innovation, you will lead AI adoption agency-wide, manage AI tool stacks, and develop AI-driven business applications. You will ensure successful deployment and measurable change using AI tools.

Lead AI-driven implementations for finance teams, transforming Accounts Payable workflows. Mentor others, develop scalable frameworks, and ensure successful Go-Live outcomes.

The Senior Technical Product Manager leads the development of AI-enabled digital products, collaborating with stakeholders and managing the product lifecycle to drive business results.

The Director of AI & Process Automation will identify automation opportunities, lead initiatives across functions, and ensure solutions are architecturally sound while driving measurable outcomes.

Join our team to develop and deploy AI solutions that integrate AI, physics, and hardware for molecular biology advancements.

The AI & Automation Engineer will design and build AI-powered workflows using Workato, partnering with IT and business teams to enhance productivity and operational efficiency.

As an intern, you'll support AI and automation initiatives in finance, improve workflows, gather requirements, and document solutions within a 3-month engagement.

Lead onboarding and implementation of AI solutions in banks. Manage customer transformation journeys, ensure project alignment, and facilitate engagement with stakeholders to achieve maximum ROI.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

Lead the transformation of customer experience through automation and AI, define the roadmap, and build cross-functional relationships to enhance service and retention.

The Principal AI Consultant advises on AI application in Financial Services, focusing on operational relevance and business alignment, leveraging deep industry knowledge to enhance customer experience and efficiency.

The Principal AI Consultant will leverage deep insurance industry expertise to advise on AI applications, enhancing operational efficiency and improving customer experience in insurance services.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

The AI Automation Specialist will oversee internal automation projects across departments, design automations using low-code platforms, and ensure effective integration of LLM APIs.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

The ML Engineer will contribute to the automated discovery engine, developing RL frameworks, synthetic data engines, and evaluating performance using proprietary datasets.

The AI Automation Specialist identifies and automates business process bottlenecks using AI, APIs, and automation tools, delivering practical solutions across the organization.