{"id":1039831,"url":"https://alion.io/job/dxc-technology-ai-python-developer-hybrid","title":"AI (Python) Developer (Hybrid)","company":{"id":88,"name":"DXC Technology","domain":"dxc.com","url":"https://alion.io/company/dxc-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":193,"ghost_share":0,"stale_share":0.876,"repost_share":0.016,"time_to_fill_p50_days":29,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":73400,"max":136300,"currency":"USD","period":"year","gross":null,"usd_annual":136300},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Boto3","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Least Privilege","optional":true},{"name":"Oracle ERP","optional":true},{"name":"Reranking","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-18T18:25:09Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-04T17:12:30Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Job Description:\nDXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new performance levels, competitiveness, and customer experience. Learn more about how we deliver excellence for our customers and colleagues at DXC.com.\nClearance: Must be a US Citizen with an active Secret Security Clearance\n\nWork Environment: Hybrid, on-site 2-3 days, Cristal City, Arlington, VA\n\nResponsibilities\nDesign, develop, test, and maintain AI agents and generative AI applications using Python.\n\nDevelop agent workflows that use large language models to interpret user requests, reason across multiple steps, select appropriate tools, retrieve information, and generate grounded responses.\n\nDesign, test, and iteratively refine system prompts, task instructions, tool-use instructions, few-shot examples, response formats, and other prompt-engineering components.\n\nApply prompt-engineering techniques to improve response accuracy, consistency, grounding, tool selection, adherence to business rules, and overall user experience.\n\nDevelop agent orchestration logic including state management, context management, tool selection, multi-step execution, retries, exception handling, and recovery.\n\nDevelop Python application components using boto3, botocore, and other appropriate SDKs and libraries to interact with AI, data, storage, security, and supporting cloud services.\n\nIntegrate agents with approved tools, APIs, Model Context Protocol (MCP) services, databases, knowledge sources, and enterprise applications.\n\nWork with AI Integration Engineers to define tool requirements, expected inputs and outputs, validation rules, and integration behaviors needed by AI agents.\n\nBuild and optimize retrieval-augmented generation (RAG) capabilities including query formulation, retrieval logic, context assembly, grounding, semantic search, and use of retrieved information within agent workflows.\n\nDevelop prompt and context strategies for working with structured and unstructured enterprise information while minimizing irrelevant or unsupported model responses.\n\nImplement structured outputs, schema validation, response validation, guardrails, error handling, and other controls required for reliable enterprise AI behavior.\n\nDevelop reusable Python libraries, utilities, agent components, prompts, and development patterns that can be used across multiple AI use cases.\n\nCreate automated unit, integration, regression, and AI evaluation tests covering agent workflows, prompts, tool selection, model responses, retrieval quality, and application behavior.\n\nDevelop and maintain evaluation methods for response quality, factual grounding, hallucination, tool-use accuracy, retrieval effectiveness, latency, consistency, and regression.\n\nAnalyze model and agent behavior using logs, prompts, responses, tool calls, retrieved context, and downstream results to identify and correct performance or reliability issues.\n\nCompare and evaluate models, prompting approaches, retrieval strategies, and agent designs based on accuracy, reliability, performance, maintainability, security, and suitability for the use case.\n\nCollaborate with functional experts and Product Owners to translate business problems into clearly defined AI use cases, expected behaviors, acceptance criteria, and measurable outcomes.\n\nSupport demonstrations, user testing, defect resolution, production validation, monitoring, and continuous improvement of deployed AI capabilities.\n\nMaintain source code, prompts, technical designs, configuration, evaluation criteria, support documentation, and other AI development artifacts.\n\nParticipate in code reviews, architecture discussions, backlog refinement, demonstrations, testing, release readiness, and other Agile/SAFe delivery activities.\n\nOther duties as assigned.\n\nRequirements\nMust possess an active Secret security clearance\n\nBachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, Engineering, or a related field; equivalent relevant experience may be considered.\n\n3+ years of hands-on software development experience, including strong experience developing production-quality applications and services using Python.\n\nStrong Python development skills including object-oriented development, modules/packages, dependency management, exception handling, logging, testing, debugging, and API development.\n\nHands-on experience developing AI agents, agentic workflows, LLM-based applications, or comparable generative AI capabilities.\n\nStrong hands-on prompt engineering experience, including development and refinement of system prompts, task instructions, few-shot examples, structured outputs, grounding strategies, tool-use instructions, and context-management approaches.\n\nExperience developing applications that interact with large language models through APIs or SDKs.\n\nExperience developing agent workflows that use tools, APIs, or MCP-based services, including tool selection, structured inputs and outputs, error handling, and integration of tool results into agent behavior.\n\nHands-on experience using boto3 and botocore to develop applications that interact with cloud services and APIs.\n\nExperience with retrieval-augmented generation (RAG), semantic search, embeddings, vector search, or other knowledge-grounded AI techniques.\n\nExperience developing REST APIs, consuming APIs, working with JSON, and integrating Python applications with external services.\n\nExperience developing automated tests or evaluation methods for AI applications, including assessment of response quality, grounding, tool use, or regression behavior.\n\nExperience with Git/source control, code reviews, CI/CD, debugging, logging, and modern software-development practices.\n\nStrong troubleshooting skills and ability to diagnose problems across Python code, agent behavior, prompts, model responses, retrieval, tools, APIs, and downstream services.\n\nDesired Skills\nAdvanced experience developing agentic AI applications involving multiple tools, multi-step workflows, state management, or complex orchestration.\n\nExperience designing and optimizing production prompt libraries, agent instructions, reusable prompt templates, and prompt-evaluation approaches.\n\nExperience evaluating and mitigating hallucination, weak grounding, inconsistent responses, poor tool selection, excessive context, and other common LLM application problems.\n\nExperience with Amazon Bedrock, foundation-model APIs, or comparable managed generative AI services.\n\nExperience with agent-development frameworks such as LangGraph, LangChain, Strands Agents, or comparable orchestration technologies.\n\nExperience building RAG applications using embeddings, vector search, semantic retrieval, hybrid retrieval, document ingestion, or reranking.\n\nExperience with vector databases or Oracle AI Vector Search is a plus.\n\nExperience developing AI capabilities involving case management, knowledge management, help desk support, summarization, classification, recommendation, or workflow assistance.\n\nExperience consuming MCP services and integrating MCP tools into AI agent workflows.\n\nUnderstanding of AI application security considerations including prompt injection, inappropriate tool use, excessive agency, sensitive-data exposure, authentication, authorization, and least-privilege access.\n\nWorking knowledge of SQL and relational databases, particularly Oracle.\n\nExperience integrating AI applications with PeopleSoft HCM, PeopleSoft CRM, or other complex enterprise applications is a plus.\n\nExperience developing containerized Python applications using Docker and deploying applications into cloud or Kubernetes environments.\n\nFamiliarity with OCI or deployment of AI applications into Oracle Cloud Infrastructure is a plus.\n\nExperience working in Agile or SAFe environments and using Azure DevOps (ADO) or a similar lifecycle-management tool.\n\nExperience supporting secured Federal or DoD enterprise systems is preferred.\n\nPython, AWS, AI/ML, cloud, or related certification is a plus.\n\nAdditional Information\nClearance: Must be a US Citizen with an active Secret Security Clearance\n\nWork Environment: Hybrid, on-site 2-3 days, Cristal City, Arlington, VA\n\nCompensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $73,400 - $136,300.Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.\nAt DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.\nIf you are an applicant from the United States, Guam, or Puerto Rico\nDXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below.\nWe participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for theFederal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.\nPostings Link\nDisability Accommodations\nIf you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us viaemail.\nPlease note: DXC will respond only to requests for accommodations due to a disability.\nRecruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.","description_format":"text","description_chars":11420,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[{"language":"Spanish","level":"All levels","optional":false}]},"benefits":["Insurance coverage","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed IT Services (MSP)","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-09-18T18:25:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.537,"p_room":0.36,"age_days":46,"expected_fill_days":29,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":136300,"is_top_pay":false},"html_url":"https://alion.io/job/dxc-technology-ai-python-developer-hybrid","json_url":"https://alion.io/job/dxc-technology-ai-python-developer-hybrid.json","meta":{"generated_at":"2026-11-04T21:13:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32853,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":88},"rest":"https://alion.io/mcp/rest/get_company?id=88"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdxc-technology-ai-python-developer-hybrid"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdxc-technology-ai-python-developer-hybrid"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdxc-technology-ai-python-developer-hybrid"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dxc-technology-ai-python-developer-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdxc-technology-ai-python-developer-hybrid"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1039831}},{"tool":"search_jobs","arguments":{"company":"dxc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1039831},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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