Lead enterprise AI-native delivery for client environments by designing, building, and operating agentic systems.

Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
Build abstraction layers across AI providers such as Anthropic, Google, and OpenAI to support seamless integration and enablement
Deliver scalable AI-native solutions using containerization and cloud-native patterns including Kubernetes, Docker, microservices, serverless, event-driven architectures, CI/CD, and observability
Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail) by applying intelligent automation to domain-specific workflows
Run design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders and support trust and adoption
Define and apply key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness
Create reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

10+ years of experience with end-to-end software engineering and SDLC expertise
8+ years experience with: programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability
8+ years experience with production deployments including: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging
8+ years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity
3+ years experience engineering cloud-native systems (APIs, microservices, containerization, serverless)
3+ years experience with AI platforms including OpenAI, Claude, and open-source models, including building abstraction layers to manage multi-provider pipelines
2+ years hands-on experience designing and delivering Agentic AI solutions
1.5+ years experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge
1.5+ years experience using coding agents and AI-assisted software development
1+ year expertise designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
Bachelor’s degree or equivalent (minimum 12 years work experience); if Associate Degree, must have minimum 6 years work experience

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off
Compensation varies depending on factors such as office location, role, skill set, and level of experience

Served as an Agentic AI Engineer in an Enterprise environment
Have additional AI certifications or agentic tool experience
Have defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
Understand the AI-native paradigm, blending cloud-native with generative model architectures to optimize performance, modularity, and efficiency
Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed
To request accommodation for disability or religious observance, call toll free at 1 (877) 889-9009 or email or speak with your recruiter

Location: New York, NY (onsite)

Salary: USD 122,700 - 302,400 per year

Education: Bachelor’s degree or equivalent

AI Engineer - FDE Software Engineering Sr. Manager

Job Description