Forward Deployed AI Engineer

locusrobotics; Wilmington (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Locus Robotics is seeking a Forward Deployed AI Engineer to partner with teams across the organization to turn real business challenges into AI agents and automated workflows that employees use daily. You will shape how AI changes work processes, ensuring security, reliability, and enterprise readiness while collaborating with IT, Security, and governance teams.

This hands-on role focuses on internal business transformation rather than product development or AI research.

Qualifications

• Bachelor's degree in a technical field and 4+ years of professional software engineering.
• Strong Python proficiency with API/integration experience.
• Hands-on expertise with large language models and AI agents.
• Ability to translate business needs into technical AI solutions and iterate quickly.

Responsibilities

• Translate business challenges into practical AI solutions and deploy secure, production-ready tools.
• Design, build, and deploy AI agents and automated workflows across enterprise systems.
• Develop secure integrations using APIs and enterprise data connectors.
• Collaborate with stakeholders to understand processes and improve efficiency with AI.

Skills

Python

LLMs

APIs & Integrations

Stakeholder collaboration

Education

Bachelor's degree in CS/engineering

Tools

Glean

Claude

Enterprise AI platforms

Job description

At Locus Robotics, we build AI-powered systems and intelligent robots that keep global supply chains running. Our platform combines advanced AI, real-time decision-making, and autonomous robotics to help leading companies improve efficiency, scale operations, and adapt to constant change.

Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment. We invest in our people, encourage continuous learning, and give you the opportunity to grow your career while building technology that is used every day at global scale.

What if you could help shape how AI changes the way work gets done across Locus? As a Forward Deployed AI Engineer , you'll partner directly with teams across Locus Robotics organization to identify where AI can eliminate manual work, simplify complex processes, and make employees more productive. You'll turn real business challenges into AI agents, intelligent applications, and automated workflows that employees use every day.

You'll work side-by-side with internal stakeholders to understand how they work today, uncover opportunities to do things better, and rapidly build and deploy solutions that connect with our enterprise systems. And when something works, you'll help turn it into a reusable approach that can benefit teams across the company.

This is a hands‑on enterprise AI development role focused on internal business transformation, not Locus product development or AI model research. We're looking for a strong software builder who enjoys solving real‑world business problems, working directly with users, and taking ideas from concept to production. You'll also help ensure the AI solutions we build are secure, reliable, measurable, and designed for responsible enterprise use.

Work Authorization: This role is open to candidates with active H-1B status requiring a change‑of‑employer transfer. We do not sponsor new initial H-1B lottery filings

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, leverag ing i ngestion, 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 .

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 conte