AI Solutions Strategist (Palantir Foundry + AIP)

Build AI that matters. We ship production AI solutions for confidential federal missions across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, caring community with handson growth, certifications, and industry training. We ship in weeks, not quarters, and measure success by latency, reliability, safety, and cost. 

Confidentiality matters: We don’t disclose program details publicly. If you advance, we’ll share specifics during the process. 

Role Overview 

You’ll work sidebyside with federal mission owners from field operations and supply chains to benefits delivery and enterprise decision support turning vision into reality with Palantir Foundry + AIP. This role focuses on orchestrating, integrating, and operationalizing AI (no model training required): you’ll leverage managed platforms and services to ship secure, reliable, and scalable applications fast. You’ll own the path from usecase discovery → prototype → scaled deployment, operating under realworld constraints and partnering across product, engineering, and domain teams. 

What You’ll Do (Day to Day) 

• Mission partnership & delivery: Embed with client teams to conceive, architect, build, and maintain solutions that meet mission needs under operational constraints. 

• Datatodecision flow: Use Foundry (e.g., ontologies, pipelines, transformations, operational workflows) to turn disparate data into actionable products; move from use case → prototype → production at mission speed. 

• Operationalize AIP: Deploy agentic workflows, retrievalaugmented patterns, and prompt/policy strategies via AIP; implement guardrails, fallbacks, and recovery for reliability without training foundation models. 

• Production rigor: Instrument metrics/logs/traces, establish runbooks and SLOs, lead postmortems, and build auditready guardrails for safety and compliance. 

• Secure & compliant by design: Respect confidentiality and integrate with federalgrade controls (privacy, access, auditability); practice Zero Trust concepts. 

• Rapid iteration, real outcomes: Prototype quickly, ship productiongrade features, and iterate based on user feedback and measurable mission impact. 

• Crossfunctional collaboration: Partner with engineers, PMs, analysts, and operators to define requirements, iterate on solutions, and ship code that sticks. 

• Forwarddeployed presence: Travel as needed to embed onsite, drive adoption, and ensure outcomes in operational environments. 

What you won’t do: Train or invent new foundation models; deliver academic research. Your focus is making bestinclass platforms and models work flawlessly in production. 

You'll Thrive Here If You Have

• Hands-on experience deploying solutions with Palantir Foundry + AIP in real customer settings. 

• Proven track record solutioning and shipping products for clients ideally in public sector or similarly regulated environments. 

• Willingness to travel for client implementation work (frequency varies by program). 

• U.S. Citizen  

Nice to Have 

• Active government security clearance. 

• Familiarity with managed AI platforms/services (e.g., AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra). 

• Experience with LLM selection/evaluation, prompt design, and RAG/agent workflows (no model training required). 

• Experience integrating toolusing agents to call APIs and access external data sources. 

• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell). 

• Background in observability, guardrails, compliancebydesign, and operating in regulated/secure environments. 

• Demonstrated client success obsession, analytical/system thinking, and a record of measurable impact 

• Strong coding / scripting with Python, TypeScript, SQL (R a plus); comfortable working over large, messy datasets.pythontypescriptgorustawsazurekubernetesdockeraidata