Forward Deployed AI Engineer

Key Responsibilities

•  Embed on-site or in tight virtual proximity with client teams for the life of the engagement, and identify the highest-leverage workflow to build first, then the next.
•  Build, test, and harden production-grade integrations (APIs, MCP connectors, data pipelines) directly against client systems.
• Own the last mile: deployment, monitoring, user adoption, and iteration based on real usage, not just proof-of-concept handoff.
• Run build-measure-learn cycles with client stakeholders, translating ambiguous business problems into scoped technical solutions.
• Act as a trusted technical counterpart to client engineering leads and executive sponsors; communicate tradeoffs in business terms.
• Contribute reusable patterns, connectors, and accelerators back to HelixAI (Atlas, Nexus, AIRE) for future engagements.

What Good Judgment Looks Like Here

•     Simplifies complexity fast: turns a messy client environment into a clear, sequenced plan without waiting for a full spec.

•     Decides soundly under pressure and owns the call, rather than escalating everything or waiting to be told what to do.

•     Writes production code directly when that's what moves the engagement forward. This isn't an architecture-only or advisory seat.

•     Spots risk early and adapts, rather than discovering a blocker after it's already cost the engagement time.

•     Turns what's learned in the field into something reusable, not a one-off fix for one client.

Core Qualifications

• 8+ years of professional software engineering experience, including 2+ years building and shipping production AI systems (not prototypes).

  •     Depth in retrieval architecture (RAG), agent orchestration/tool-use patterns, and evaluation pipeline design.

  •     Strong Python proficiency, with production experience using LangChain and/or LangGraph.

  •     Hands-on AWS experience across core compute, storage, and AI/ML services (e.g., Bedrock, Lambda, S3).

  •     Demonstrated ability to work independently and ambiguously in a client-facing, field environment.

  •     Hands-on experience integrating with enterprise systems via APIs, webhooks, or connector frameworks.

  •     Prior experience in a forward-deployed, solutions engineering, or field engineering role.

• Travel requirement for client site visits in US - up to 50% of the role.

Nice to have

•     Experience with agentic SDLC methodologies and AI-assisted development tooling (Claude Code, Cursor, GitHub Copilot, or equivalents).

•     Familiarity with RBAC, audit logging, and governance requirements for regulated or enterprise clients.

•     Background in a specific vertical (financial services, asset management, healthcare, etc.).

What is it like working for 3Pillar Global?

At 3Pillar Global, we are the power behind the brands you know. We are hiring new team members to assist us in continuing our growth trajectory as a fast growing global team of thousands of professionals. New Leaders will live our shared values of Intrinsic Dignity, Open Collaboration, Outsized Impact, and Continuous Improvement everyday to harness The Power of Team and deliver exceptional products and services for our clients.

We support the comprehensive wellbeing of our team members, through:

• Career growth and development

• Physical and mental wellbeing: As a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging unlimited PTO to take some needed time off, we want all of our team members operating at their best.

• Living our value for Intrinsic Dignity as an equal opportunity employer.

• Comprehensive US/Regional benefits packages including company-funded healthcare options, parental leave, and company-paid disability/life insurance.