Enterprise AI Engineer — Equity & Bonus Eligible

Locus Robotics; Wilmington (MA); On-site; USD 150,000 - 200,000; Full time

Job summary

Locus Robotics is a leader in AI-powered systems and autonomous robotics that transform enterprise operations. This Forward Deployed AI Engineer role partners with teams across Locus to translate business challenges into AI agents, automated workflows, and secure production tools.

You will work with stakeholders to design and deploy AI solutions that connect with enterprise systems, ensuring security, reliability, and measurable business impact across the organization.

Qualifications

• Bachelor's degree in computer science, engineering, or related technical discipline.
• 4+ years of professional software engineering experience building, deploying, and supporting production applications.
• Strong proficiency in Python, with a track record of building APIs, integrations and automation that connect applications with enterprise systems and data.
• Hands-on expertise with large language models, commercial or open model APIs, and the development of AI agents and agentic workflows.
• Proven ability to build and deploy enterprise AI agents or agentic workflows using platforms such as Glean, Claude, or comparable enterprise AI, agent and orchestration platforms
• Ability to partner directly with business stakeholders, translate ambiguous needs into practical technical solutions, and iterate quickly based on user feedback.
• Working knowledge of retrieval-augmented generation (RAG), including embeddings, semantic or hybrid search, prompt and context engineering, and structured model outputs.
• Demonstrated success integrating enterprise platforms such as Microsoft 365, Salesforce, Slack, Jira, Confluence, ERP systems, and modern data platforms.
• Strong understanding of enterprise application security, including authentication, authorization, OAuth/OIDC, role-based access controls, and permission-aware data access.
• Familiarity with MCP or similar standards for securely connecting AI models and agents with enterprise tools, systems, and data.
• Knowledge of vector databases, enterprise search, and knowledge retrieval systems.
• Proficiency with modern software engineering practices, including automated testing, version control, CI/CD, application observability, and production support.
• Demonstrated ownership and sound judgment, with the ability to work effectively across teams and organizational boundaries.
• Excellent written and verbal English communication skills, with the ability to clearly explain technical concepts and tradeoffs to both technical and non-technical audiences.

Responsibilities

• Work directly with teams across Locus to understand how work gets done today, identify high-value opportunities for AI, and determine where AI can meaningfully improve the workflow, transforming manual and complex processes into smarter, faster, and more efficient ways of working.
• Translate loosely defined business challenges into practical AI solutions, moving quickly from concept and prototype to secure, production-ready tools and workflows.
• Design, build, and deploy AI agents, assistants, and automated workflows using large language models, retrieval, tool integrations, structured outputs, and appropriate human oversight.
• Build secure, reliable integrations that connect AI solutions with enterprise systems and data using APIs, connectors, MCP, and other appropriate integration methods.
• Build retrieval and grounding capabilities that enable AI solutions to securely access and use structured and unstructured enterprise data, leveraging ingestion, metadata, embeddings, search, and reranking techniques as appropriate .
• Ensure AI solutions are secure, reliable, and enterprise-ready by incorporating authentication, authorization, audit logging, observability, cost controls, and human-in-the-loop safeguards in partnership with IT, Security, and governance teams.
• Take solutions beyond the prototype by building automated evaluations and regression testing, supporting deployment and monitoring, and continuously improving performance, reliability, cost, and user outcomes.
• Measure the impact of AI solutions through business outcomes such as reduced cycle time, hours saved, improved quality, increased capacity, and better customer outcomes.
• Turn successful implementations into reusable components, templates, reference architectures, and documented patterns that accelerate AI adoption across Locus Robotics.
• Stay current with emerging AI models, agent frameworks, integration standards, and enterprise AI practices, while sharing knowledge and helping teams successfully adopt approved AI capabilities.

Skills

Python

Large language models

AI agents

API integrations

Enterprise systems

Team collaboration

English communication

Education

Bachelor's degree in CS/Engineering

Tools

Glean

Claude

Jira

Confluence

Microsoft 365

Salesforce

Slack

Job description

Locus Robotics is a leader in AI-powered systems and autonomous robotics that transform enterprise operations. This Forward Deployed AI Engineer role partners with teams across Locus to translate business challenges into AI agents, automated workflows, and secure production tools.

You will work with stakeholders to design and deploy AI solutions that connect with enterprise systems, ensuring security, reliability, and measurable business impact across the organization.