{"id":933877,"url":"https://alion.io/job/accenture-ai-native-software-engineering-2","title":"AI Native Software Engineering","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2105,"ghost_share":0.001,"stale_share":0.151,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","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":["London, United Kingdom","Birmingham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":201000,"period":"year","method":"role_country_seniority_unknown","sample_n":424},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Anthropic","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-09-15T13:17:29Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-01T08:22:50Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Role Description\nWe are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.\nYou will work on real clientprogramsacross industries, building production-grade software that connects to and supports agentic AI systems - understanding how your full-stack work integrates with agentarchitecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineerprogramfor those who develop agentic depth.\nWe offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level oforganizationalcomplexity - combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.\nKey Responsibilities\nUse AI coding assistants daily as a standard part of delivery, actively,frequently, and with demonstrable impact on productivity and output quality\n\nIntegrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers\n\nApply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks\n\nOwn the quality of AI-generated outputs in your delivery scope,exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not\n\nDefine and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows;presentAI productivity and quality metrics to project stakeholders\n\nOwn delivery end-to-end - from design through to production support - in Agile sprint cycles alongside client engineering teams\n\nContribute to shared knowledge bases, reusable components, and internal AI tooling standards thatbenefitthe wider team\n\nBuild and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines\n\nBasic Qualifications\nBachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field\n\nCommercial software engineering experience in production environments (or equivalentdemonstratedthrough academic projects, internships, or shipped personal projects)\n\nProficiencyin at least one primary backend language: Python, Java, or TypeScript\n\nDemonstrated hands-on experience using AI tools actively in day-to-day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs\n\nBasic understanding of web technologies including JavaScript, HTML, and CSS\n\nFamiliarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines\n\nUnderstanding of Agile delivery fundamentals\n\nExperience with databases - SQL or NoSQL\n\nAbility tovalidate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use\n\nFamiliarity with agentic system concepts - awareness of orchestration frameworks (LangChain,LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-basedarchitecture; production experience preferred, conceptual understandingrequired\n\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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