AI-Native Platform & Systems Lead

Accenture PLC; Sacramento (CA); On-site; USD 94,000 - 316,000; Full time

Job summary

Accenture is seeking a senior software engineer in California to design, build, and operate production systems across front end, API, backend, data, and AI components. You will own architecture through production, work with cloud platforms (AWS/Azure/GCP), implement CI/CD, security controls, and AI-enabled workflows while leading engineering teams and delivering measurable outcomes for clients.

Travel may be required; you will collaborate with multidisciplinary teams and drive engineering

Qualifications

• Minimum of 5 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 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).
• Minimum of 5 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 5 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 in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Responsibilities

• 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.
• Design and deploy workloads using containers, Kubernetes, serverless, managed cloud services, and infrastructure as code (Terraform, Helm, or equivalent).
• Use the native capabilities of AWS, Azure, or GCP, including cloud networking, compute, storage, identity, secrets, service communication, and workload isolation.
• 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 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.
• 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 evaluation frameworks and production safeguards
• Lead multidisciplinary teams spanning software, cloud, platform, security, data, and AI engineering; set engineering standards and develop the engineers around you.
• Turn Delivery Into Reuse by converting lessons into reusable patterns, tooling, automation, and standards.

Skills

Software engineering

Cloud platforms

CI/CD

Security by design

AI-enabled engineering

Education

Bachelor's degree in Computer Science, Engineering or equivalent

Tools

Docker

Kubernetes

Terraform

Helm

Job description

Accenture is seeking a senior software engineer in California to design, build, and operate production systems across front end, API, backend, data, and AI components. You will own architecture through production, work with cloud platforms (AWS/Azure/GCP), implement CI/CD, security controls, and AI-enabled workflows while leading engineering teams and delivering measurable outcomes for clients.

Travel may be required; you will collaborate with multidisciplinary teams and drive engineering