AI-Native Software Engineering Leader

Accenture PLC; City of Albany (NY); On-site; USD 87,000 - 316,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture seeks a senior software engineer to design, build, and operate production systems across front end, APIs, data, cloud, and AI components. You will own delivery from architecture to production and partner with client technology leaders to turn ambiguous requirements into measurable outcomes.

You will lead multidisciplinary teams, advance AI-native engineering, and implement secure, scalable pipelines on major cloud platforms, leveraging Kubernetes, Terraform, and CI/CD to ship value

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), 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.
• 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 transactional, streaming, analytical, and unstructured data flows across 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 agentic systems with tools, memory, context, planning, human intervention, and policy-controlled execution, with evaluation frameworks, observability, and safeguards.
• Lead multidisciplinary teams spanning software, cloud, platform, security, data, and AI engineering; set engineering standards and develop engineers around you.
• Facilitate architecture and engineering sessions with senior client technologists, and communicate trade-offs, risks, and recommendations clearly to technical and executive audiences.
• Turn delivery into reuse by converting lessons into reusable patterns, tooling, automation, and standards that influence internal assets and client roadmaps.

Skills

Software engineering

Cloud architecture

DevSecOps

AI-native engineering

Leadership

Education

Bachelor's degree in Computer Science, Engineering or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

AWS

Azure

GCP

Job description

Accenture seeks a senior software engineer to design, build, and operate production systems across front end, APIs, data, cloud, and AI components. You will own delivery from architecture to production and partner with client technology leaders to turn ambiguous requirements into measurable outcomes.

You will lead multidisciplinary teams, advance AI-native engineering, and implement secure, scalable pipelines on major cloud platforms, leveraging Kubernetes, Terraform, and CI/CD to ship value