Job description

We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You are: A 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. You 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. You 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. The Work You 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. Own the Whole System Design 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. Diagnose production issues wherever they live: application code, networks, infrastructure, identity, data, or AI workloads. Engineer Cloud-Native Platforms Design and deploy workloads using containers, Kubernetes, serverless, managed cloud services, and infrastructure as code (Terraform, Helm, or equivalent), building for elasticity, resilience, and recoverability. Use the native capabilities of AWS, Azure, or GCP, including cloud networking, compute, storage, identity, secrets, service communication, and workload isolation. Own DevSecOps and Production Engineering Build the automated path from commit to production: CI/CD, automated testing, security scanning, artifact management, infrastructure deployment, policy enforcement, and release controls. Apply 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. Engineer Data and Context Design 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. Design 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. Build Production AI and Agentic Systems Design and implement AI capabilities using frontier and enterprise models (OpenAI, Anthropic, Microsoft, Google, AWS, and others), integrated into live enterprise systems and production workflows. Build 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. Engineer With AI Use 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. Continuously 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. Lead Engineering Outcomes Lead multidisciplinary teams spanning software, cloud, platform, security, data, and AI engineering; set engineering standards and develop the engineers around you. Facilitate architecture and engineering sessions with senior client technologists, and communicate trade-offs, risks, and recommendations clearly to both technical and executive audiences. Turn Delivery Into Reuse Convert lessons from delivery and production failures into reusable patterns, tooling, automation, and standards that influence internal assets and client roadmaps. Contribute to internal communities of practice around AI-native and agentic engineering. This is a hybrid role in Columbus, OH and requires 3 days per week in the office. May consider qualified applicants in Tampa, FL; Atlanta, GA; Dallas, TX or Houston, TX. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. Here s What You Need Minimum of 8 years of professional software engineering experience building and operating production systems. Minimum 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. Minimum of 5 years of programming experience in at least one major language such as Java, Python, Go, TypeScript/JavaScript, or C#. Minimum of 3 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). Minimum of 3 years of experience designing and operating CI/CD pipelines through to production, including automated testing and integrated security controls. Minimum 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. Minimum 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. Minimum of 3 years of experience leading engineering teams or significant technical workstreams, including leading client-facing technical discussions, workshops, or delivery sessions under ambiguity. Bachelor s degree OR equivalent (minimum 12 years) work experience. (If Associate s Degree, must have minimum 6 years work experience) Bonus Points If You Have: Built multi-agent orchestrations using frameworks such as LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK. A public repository, portfolio, or open-source contribution featuring agents, tools, or plugins you built yourself. Designed model and provider abstraction layers covering routing, fallback, latency, throughput, and cost management across multiple AI providers. Defined enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry and stream-based architectures. Relevant cloud, security, or AI certifications. Delivered AI-native solutions across more than one industry (for example financial services, healthcare, retail), adapting workflows to domain-specific processes and constraints. Experience applying AI-assisted engineering to modernize an existing legacy estate. Driven execution across multiple concurrent workstreams while holding quality, delivery, and alignment with client outcomes. Compensation 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. We anticipate this job posting will be posted until 11/26/2026. Accenture 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: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $316,300 Colorado $94,400 to $273,200 Connecticut $94,400 to $273,200 District of Columbia $100,500 to $291,000 Illinois $87,400 to $273,200 Maine $80,400 to $232,800 Maryland $94,400 to $273,200 Massachusetts $94,400 to $291,000 Minnesota $94,400 to $273,200 New York $87,400 to $316,300 New Jersey $100,500 to $316,300 Ohio $87,400 to $253,000 Virginia $87,400 to $291,000 Washington $100,500 to $291,000 About Accenture Accenture 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 at www.accenture.com What We Believe We 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. Inclusion 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 Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We 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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the  Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company s legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Requirements

Must-haves

Stronger together!
The value for our clients and our people
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.
You 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.
Own the Whole System
Design 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.
Diagnose production issues wherever they live: application code, networks, infrastructure, identity, data, or AI workloads.
Engineer Cloud-Native Platforms
Design and deploy workloads using containers, Kubernetes, serverless, managed cloud services, and infrastructure as code (Terraform, Helm, or equivalent), building for elasticity, resilience, and recoverability.
Use the native capabilities of AWS, Azure, or GCP, including cloud networking, compute, storage, identity, secrets, service communication, and workload isolation.
Own DevSecOps and Production Engineering
Build the automated path from commit to production: CI/CD, automated testing, security scanning, artifact management, infrastructure deployment, policy enforcement, and release controls.
Apply 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.
Engineer Data and Context
Design 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.
Design 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.
Build Production AI and Agentic Systems
Design and implement AI capabilities using frontier and enterprise models (OpenAI, Anthropic, Microsoft, Google, AWS, and others), integrated into live enterprise systems and production workflows.
Engineer With AI
Continuously 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.
Lead Engineering Outcomes
Lead multidisciplinary teams spanning software, cloud, platform, security, data, and AI engineering; set engineering standards and develop the engineers around you.
Facilitate architecture and engineering sessions with senior client technologists, and communicate trade-offs, risks, and recommendations clearly to both technical and executive audiences.
Turn Delivery Into Reuse

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesawsazuregcpci/cdapijavapythongotypescriptjavascriptdocker

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off