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Accenture · 17 hours ago

AI Native Software Engineering Senior Manager | Associate Director

Albany, New York Metropolitan Area

Full-time

Hybrid

Senior Level, Lead/Staff, Director/Executive

$132K/yr - $302K/yr

10+ years exp

Accenture is a forward-thinking services company at the forefront of AI-native innovation. They are seeking an AI Native Software Engineering Senior Manager who will partner with enterprise clients to design, build, and deploy agentic workflows that scale across modern infrastructure, ensuring robust and secure systems tailored to specific industry needs.

Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing

No H1B

Responsibilities

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability

AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement

Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems

Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation

Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption

Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness

Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

Qualification

Cloud-native systemsAgentic solutionsAI platformsPython programmingCI/CDContainerizationMicroservicesClient communicationTechnical workshopsCritical thinking

Required

Minimum of 10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)

Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments

Minimum of 7 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines

Minimum of 10 years of experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability

Minimum of 10 years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging

Minimum of 10 years of experience in client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity

Bachelor's degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus

Preferred

You've served as an Agentic AI Engineer in an Enterprise environment

You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures

You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency

You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs