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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Strategist (Palantir Foundry + AIP) - **Company:** Accenture - **Location:** Seattle, WA, United States (Remote available) - **Salary:** $100,200.0 - $203,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Decision Support Systems, Linux, Python (Programming Language), Windows PowerShell, Zero Trust Network Access, SQL Databases, Systems Integration, TypeScript, Scripting, Large Language Models, Prompt Engineering, Containerization, AI Platforms, Kubernetes, Docker, Vmware - **Published:** June 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=248eb241fcb9a425 ## About the Role Do you have experience in Customer communication?, * 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. * Ability to operate autonomously, own outcomes, and drive clarity across diverse stakeholders. * Excellent communication with technical and nontechnical partners; comfortable embedding onsite with client teams. ## Description 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. * Data-to-decision 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. * Forward deployed 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. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)