{"id":3443419,"url":"https://alion.io/job/accenture-ai-native-software-engineer-34","title":"AI Native Software Engineer","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":2108,"ghost_share":0.001,"stale_share":0.157,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States","Milwaukee, United States","Dallas, United States","Columbus, United States","Kirkland, United States","Cincinnati, United States","New York, United States","Cleveland, United States","Oklahoma City, United States","Austin, United States","Albany, United States","Arlington, United States","Tampa, United States","Hartford, United States","Pittsburgh, United States","Saint Louis, United States","Miami, United States","Sacramento, United States","Raleigh, United States","Minneapolis, United States","Mountain View, United States","Scottsdale, United States","San Francisco, United States","Denver, United States","Boston, United States","Philadelphia, United States","Des Moines, United States","Overland Park, United States","Los Angeles, United States","Charlotte, United States","Seattle, United States","Houston, United States","Atlanta, United States","Orlando, United States","Redmond, United States","Bentonville, United States","Beaverton, United States","Nashville, United States","Detroit, United States","San Diego, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":94400,"max":316300,"currency":"USD","period":"year","gross":null,"usd_annual":316300},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Claude","optional":true},{"name":"CrewAI","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"OpenAI SDK","optional":true}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T20:44:33Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Accenture:\nAccenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.\nWe are:\nA forward-thinking services company at the forefront of AI-native engineering. We partner with enterprise clients to design, build, and run production systems in which AI is a first-class engineering capability, engineered into the product and into the way our teams build it. Our engineers embed deeply with customers, own outcomes end to end, and move work past experimentation into operational reality.\nYou are:\nA senior engineer who can build and operate an entire production system. You work across application and product engineering, APIs and services, data, cloud infrastructure, DevSecOps, security, observability, and AI, and you are comfortable being accountable for all of it. You take an ambiguous business or engineering problem and own the technical solution from architecture through production. You are equally credible designing a distributed system, provisioning the infrastructure it runs on, building the pipeline that ships it, and designing the AI and agentic capabilities that operate inside it.\nYou also engineer with AI. It is part of how you build software: how you generate, test, review, modernize, document, and operate it. You can demonstrate the measurable difference it makes to your own delivery.\nYou'll shape how enterprises adopt AI-native engineering by leading multidisciplinary teams and setting technical direction, while staying hands-on enough to inspect, challenge, prototype, and debug the implementation yourself.\nThe Work:\nYou'll partner directly with client technology leaders, acting as both engineer and trusted advisor. You'll turn ambiguous requirements into architectures, executable increments, and measurable outcomes, then get them into production. Often these are net-new platforms that have to be stitched into a client's existing estate alongside our ecosystem partners.\nOwn the Whole System\nDesign and build production systems across front end, APIs, backend services, integration, data, infrastructure, and AI components, making architectural decisions across all of these concerns together.\nDiagnose production issues wherever they live: application code, networks, infrastructure, identity, data, or AI workloads.\nEngineer Cloud-Native Platforms\nDesign and deploy workloads using containers, Kubernetes, serverless, managed cloud services, and infrastructure as code (Terraform, Helm, or equivalent), building for elasticity, resilience, and recoverability.\nUse the native capabilities of AWS, Azure, or GCP, including cloud networking, compute, storage, identity, secrets, service communication, and workload isolation.\nOwn DevSecOps and Production Engineering\nBuild the automated path from commit to production: CI/CD, automated testing, security scanning, artifact management, infrastructure deployment, policy enforcement, and release controls.\nApply secure-by-design practices (identity, least privilege, secrets, encryption, dependency and supply-chain security), instrument logs, metrics, traces, and SLOs, and lead incident response and root-cause analysis.\nEngineer Data and Context\nDesign and implement the transactional, streaming, analytical, and unstructured data flows the solution needs, across relational and non-relational stores, object storage, event platforms, and pipelines.\nDesign the data and context architecture AI systems depend on, including retrieval, embeddings, metadata, knowledge sources, and context management, with quality, lineage, access, retention, and privacy engineered in.\nBuild Production AI and Agentic Systems\nDesign and implement AI capabilities using frontier and enterprise models (OpenAI, Anthropic, Microsoft, Google, AWS, and others), integrated into live enterprise systems and production workflows.\nBuild agentic systems with tools, memory, context, planning, human intervention, and policy-controlled execution, together with the evaluation frameworks, AI observability, and production safeguards that keep probabilistic components trustworthy inside deterministic enterprise systems.\nEngineer With A I\nUse AI-native development techniques throughout the lifecycle, including code generation, testing, debugging, modernization, documentation, analysis, and operations, and design engineering workflows in which agents can safely perform bounded development and operational tasks.\nContinuously identify where AI materially improves engineering throughput, quality, or system operations, and establish the context, tools, permissions, evaluations, and human controls that make it safe.\nLead Engineering Outcomes\nLead multidisciplinary teams spanning software, cloud, platform, security, data, and AI engineering; set engineering standards and develop the engineers around you.\nFacilitate architecture and engineering sessions with senior client technologists, and communicate trade-offs, risks, and recommendations clearly to both technical and executive audiences.\n\nTurn Delivery Into Reuse\nConvert lessons from delivery and production failures into reusable patterns, tooling, automation, and standards that influence internal assets and client roadmaps.\nContribute to internal communities of practice around AI-native and agentic engineering.\nTravel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.\nHere's What You Need:\nMinimum of 5 years of professional software engineering experience building and operating production systems.\nMinimum of 5 years of hands-on experience spanning multiple layers of the stack, including front end or API through services, integration, persistence, and asynchronous processing.\nMinimum of 5 years of programming experience in at least one major language such as Java, Python, Go, TypeScript/JavaScript, or C#.\nMinimum of 5 years of hands-on production experience with a major cloud platform (AWS, Azure, or GCP), including containers and orchestration (Docker, Kubernetes) and infrastructure as code (Terraform, Helm, or equivalent).\nMinimum of 5 years of experience designing and operating CI/CD pipelines through to production, including automated testing and integrated security controls.\nMinimum of 1 years of hands-on experience designing, building, and deploying AI-enabled or agentic systems in production or near-production environments, including model integration, tool use, retrieval, context engineering, orchestration, and evaluation.\nMinimum of 1 years of experience applying AI-native engineering tools and workflows to day-to-day software development, including code generation, automated testing, debugging, modernization, and documentation.\nMinimum of 5 years of experience leading engineering teams or significant technical workstreams, including leading client-facing technical discussions, workshops, or delivery sessions under ambiguity.\nBachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)\nBonus Points If You Have:\nBuilt multi-agent orchestrations using frameworks such as LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK.\nA public repository, portfolio, or open-source contribution featuring agents, tools, or plugins you built yourself.\nDesigned model and provider abstraction layers covering routing, fallback, latency, throughput, and cost management across multiple AI providers.\nDefined enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry and stream-based architectures.\nRelevant cloud, security, or AI certifications.\nDelivered AI-native solutions across more than one industry (for example financial services, healthcare, retail), adapting workflows to domain-specific processes and constraints.\nExperience applying AI-assisted engineering to modernize an existing legacy estate.\nDriven execution across multiple concurrent workstreams while holding quality, delivery, and alignment with client outcomes.\nCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.\nWe anticipate this job posting will be posted until 11/17/2026.\nAccenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:\nU.S. Employee Benefits | Accenture\nRole Location Annual Salary Range\nCalifornia $94,400 to $316,300\nColorado $94,400 to $273,200\nConnecticut $94,400 to $273,200\nDistrict of Columbia $100,500 to $291,000\nIllinois $87,400 to $273,200\nMaine $80,400 to $232,800\nMaryland $94,400 to $273,200\nMassachusetts $94,400 to $291,000\nMinnesota $94,400 to $273,200\nNew York $87,400 to $316,300\nNew Jersey $100,500 to $316,300\nOhio $87,400 to $253,000\nVirginia $87,400 to $291,000\nWashington $100,500 to $291,000\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\nWhat We Believe\nWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.\nInclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here\nRequesting An Accommodation\nAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. 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