{"id":1968919,"url":"https://alion.io/job/capgemini-ai-developer-python-gcp-2","title":"AI Developer - Python - GCP","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":81,"open_postings":1720,"ghost_share":0,"stale_share":0.757,"repost_share":0.001,"time_to_fill_p50_days":27,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":68911,"max":161544,"currency":"USD","period":"year","gross":null,"usd_annual":161544},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Google ADK","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-05T20:34:51Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-11T19:16:37Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"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.\nLocation\nAtlanta, Chicago, Dallas, NJ, Nashville\nAbout the job you're considering\nAt Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.\nKey Responsibilities\n1. Agentic AI Design & Implementation\nDesign and develop intelligent AI agents using Vertex AI Agent Builder to automate complex business processes and workflows.\nLeverage the Agent Development Kit (ADK) to build, orchestrate, and manage multi-agent systems capable of collaborating on end-to-end business challenges.\nImplement and integrate Model Context Protocol (MCP) Toolbox to securely connect AI agents with enterprise data platforms such as BigQuery and Cloud Spanner.\nArchitect scalable agentic solutions that effectively combine reasoning, retrieval, tool usage, and workflow automation.\n2. AI-Driven Data Strategy & Engineering\nUtilize Vertex AI for model training, fine-tuning, evaluation, and deployment, while integrating seamlessly with BigQuery for feature engineering and analytics.\nBuild and optimize real-time and batch data pipelines using services such as Dataflow to support large-scale AI and ML workloads.\nEnable low-latency inference through Vertex AI Endpoints and RunInference APIs for production-grade AI applications.\nImplement retrieval-augmented architectures using vector search capabilities within BigQuery and AlloyDB, ensuring AI systems remain grounded in current business context and reducing knowledge drift.\nYour role\nOperational Expectations (Soft Skills)\nOperational Expectations (Soft Skills)\nActive Participation\nAttend internal and customer-facing meetings punctually and consistently.\nRemain actively engaged in technical discussions, reviews, and planning sessions.\nTransparent Communication\nProvide regular, structured updates on project progress, milestones, risks, and technical blockers.\nCommunicate effectively with both technical teams and business stakeholders.\nProactive Collaboration\nSeek guidance when encountering challenges and contribute to a collaborative problem-solving culture.\nSupport peers through knowledge sharing, code reviews, and troubleshooting efforts.\nConsultative Mindset\nWork closely with stakeholders to translate business objectives into scalable and maintainable technical solutions.\nNavigate complex enterprise environments and align AI initiatives with organizational goals.\nRequired Technical Expertise\nVertex AI Expertise\nStrong hands-on experience with:Vertex AI Model Garden\nVertex AI Pipelines\nModel Evaluation and Optimization\nVertex AI Endpoints\nVertex AI Agent Builder\n\nData & Machine Learning Engineering\nAdvanced proficiency in SQL (BigQuery) and Python for machine learning and data engineering.\nExperience with:Data preprocessing and feature engineering\nData scaling and normalization\nEncoding techniques\nMissing value imputation\nModel performance monitoring\n\nEmerging AI Technologies\nUnderstanding of modern agentic AI architectures and multi-agent systems.\nFamiliarity with stateful real-time processing, contextual memory, retrieval systems, and AI orchestration frameworks.\nKnowledge of current trends and innovations in Generative AI and autonomous agents.\nPreferred Qualifications\nExperience in Financial Services, Banking, FinTech, or Retail domains.\nUnderstanding of industry-specific use cases such as:Credit Risk Assessment\nFraud Detection\nRoyalty Forecasting\nSearch Relevance Optimization\nCustomer Intelligence Platforms\n\nKnowledge of data privacy, governance, and regulatory compliance.\nExperience implementing PII protection, including:Data masking\nData redaction\nSecure data handling practices\nCompliance-driven AI architectures\n\nCloud & Infrastructure\nPractical experience with: Google Cloud Platform (GCP)\n Google Cloud Storage (GCS)\nBigQuery\nCloud Spanner\nVertex AI Endpoints\n\nIdeal Candidate Profile\nA highly collaborative AI/ML professional with deep expertise in Vertex AI, BigQuery, agentic architectures, and cloud-native machine learning, capable of designing enterprise-grade AI solutions that transform business requirements into scalable, secure, and production-ready systems.\nThe base compensation range for this role in the posted location is: $68,911 to $161,544\nCapgemini 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.\nThe 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.\nThese 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.\nIt is not typical for candidates to be hired at or near the top of the posted compensation range.\nIn 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.\nCapgemini 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:\nPaid 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\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\nLife and disability insurance\nEmployee assistance programs\nOther benefits as provided by local policy and eligibility\nImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.\nDisclaimers\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\nThis is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.\nPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.\nClick the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. 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