# AI Platform Engineer Source: https://realanalystjobs.com/job/ai-platform-engineer-capgemini-0cca65b9 AI Platform Engineer at Capgemini, an on-site role based in Atlanta, Georgia, USA. First seen on RealAnalystJobs on 15 November 2026, read from Capgemini's own careers page (Capgemini), which RealAnalystJobs re-checks daily and removes the role when it closes. Capgemini has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Capgemini](https://realanalystjobs.com/companies/capgemini) - Location: Atlanta, Georgia, USA - Work mode: On-site - First seen: Nov 15, 2026 - Employment type: Full time - Source: Capgemini's careers page (Capgemini), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Capgemini had H-1B petitions approved for 2,110 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/capgemini#h1b-record) ## About this role Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description What you will ownOne or more platform components end to end: model gateway (routing, failover, caching, per-line cost attribution), agent runtime and orchestration, evaluation harness, guardrail engine, tool and agent registry, or shared product services The training and adaptation loop: pipelines that turn production traces and evaluation verdicts into reinforcement learning and fine-tuning datasets, and the infrastructure to train, evaluate, and serve NewCo-tuned LLMs and SLMs behind the same gates as vendor models Reliability, latency, and cost of what you build; platform services carry baselines and you hold them The self-service surfaces product engineers use: your components ship with documentation, sane defaults, and no ticket queue Co-building with product teams: new shared services start embedded with a product line and graduate to platform services when proven What you will need Strong production engineering: Python plus one systems language (Go or Rust welcome), Kubernetes, infrastructure-as-code, and one major cloud Hands-on experience with LLM infrastructure: a model gateway pattern (such as LiteLLM or in-house), model serving (such as vLLM or managed endpoints), and vector or retrieval systems Agent-systems experience: you have built with an agent orchestration framework (such as LangGraph or first-party agent SDKs) and understand tool calling and the Model Context Protocol (MCP) Evaluation engineering: you have built or operated eval harnesses (golden datasets, regression gates in CI, LLM-judge calibration) and can explain why they gate merges Post-training fluency: you have fine-tuned or post-trained a model, built the data pipeline behind one, or reproduced techniques from recent papers in production systems Daily, hands-on use of AI coding assistants as part of your own development workflow We care about depth in four or five of these areas more than surface familiarity with all of them. What sets you apart Guardrail-engine or AI-observability experience (NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust, or equivalent) Reinforcement learning infrastructure (reward modelling, RLHF or GRPO-class pipelines) or SLM distillation experience Multi-tenant SaaS infrastructure: tenancy isolation, metering, usage-based billing Financial services engineering (banks, insurers, or payment providers) is the ideal background; other regulated-industry or security engineering depth also counts Open-source contributions or a portfolio of deployed agents and eval suites (we would rather see this than a CV) The reference stack The reference technology stack for this role is our supported paved road: self-hosted LangSmith and LangGraph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pgvector plus ClickHouse and S3-compatible object storage as the data platform, Neo4j Enterprise as the semantic knowledge graph, an agent memory plane serving episodic and precedent memory over MCP, MCP-native connectors, OpenTelemetry and Grafana for observability, all on CNCF-conformant Kubernetes with Helm and Argo CD, deployable to any hyperscaler or on-prem. A tool-for-tool match is not expected: analogous experience counts fully. If you have built and operated systems of this shape on comparable components (a different orchestration framework, graph engine, evaluation platform, or serving stack), you have what we are looking for. How we work Engineers write specs, harnesses, evals, and guardrails; AI agents execute the implementation loops. Review, not typing, is where engineering judgment goes. Three human gates govern everything we ship: spec approval, merge, and release. Regulated code paths (money movement, authentication, cryptography, secrets) are always human-owned.' The base compensation range for this role in the posted location is: 110000 to 139992 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) • Life and disability insurance • Employe Description from Capgemini's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/ai-platform-engineer-capgemini-0cca65b9) and use Apply now there to reach the employer's application. The listing is re-checked against Capgemini's careers page daily and removed when it closes. ## Capgemini 222 open analyst roles on Real Analyst Jobs. [More roles at Capgemini](https://realanalystjobs.com/companies/capgemini) ## More like this ### Other open roles at Capgemini - [MES Technical Business Analyst](https://realanalystjobs.com/job/mes-technical-business-analyst-capgemini-fa1a653a), New York New York, USA (On-site) - [Functional Analyst](https://realanalystjobs.com/job/functional-analyst-capgemini-00cc8f42), Spain (On-site) - [Business Analyst Senior Secteur Public](https://realanalystjobs.com/job/business-analyst-senior-secteur-public-capgemini-c49e0244), France (On-site) - [Looker and Tableau Developer](https://realanalystjobs.com/job/looker-and-tableau-developer-capgemini-089bbe73), Bucharest, Romania - [ABL - Business Analyst](https://realanalystjobs.com/job/abl-business-analyst-capgemini-e19f6f16), Aguascalientes, Mexico - [Data analyst jobs in the USA](https://realanalystjobs.com/jobs/data-analyst-jobs-in-usa) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/ai-platform-engineer-capgemini-0cca65b9) - [Capgemini on Real Analyst Jobs](https://realanalystjobs.com/companies/capgemini) - [All analyst jobs](https://realanalystjobs.com/jobs)