AI Engineer, FDE Software Engineering Senior Manager

Accenture

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary
$132,500–$302,400 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $217k
$112k most similar roles pay here $323k

This role pays more than 65% of similar roles. Most pay $161,525–$245,062 — the shaded band above. At the midpoint, this role pays about $217k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 208 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 179 roles with salary data.

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At a glance

TL;DR · AI Engineer, FDE Software Engineering Senior Manager

AI Engineer - FDE Software Engineering Sr. Manager As an AI Native Engineer, you will join a team focused on building and scaling agentic systems within complex enterprise environments. You will act as both a technologist and trusted advisor, collaborating with stakeholders to define use cases, prototype solutions, and deploy robust, secure agentic workflows across various industries like finance and healthcare. Your daily work involves designing agent architectures featuring retrieval, orchestration, and lifecycle observability while building abstraction layers for providers such as Anthropic, Google, and OpenAI. You will utilize Python, Java, Kubernetes, Docker, and Terraform to develop cloud-native, microservice-based systems. The role requires expertise in RAG, knowledge graphs, and semantic models to solve the challenge of integrating net new platforms into existing infrastructure while ensuring high performance, safety, and cost-effectiveness through rigorous evaluation harnesses and automated CI/CD pipelines.

What you'll do

  • Design and engineer enterprise-ready AI agents featuring retrieval, orchestration, and lifecycle observability.
  • Develop abstraction layers across multiple AI providers to enable seamless integration into client environments.
  • Build scalable, cloud-native systems using containerization, microservices, and event-driven architectures.
  • Tailor and deploy agentic applications to address specific workflows in sectors like finance and healthcare.
  • Lead design workshops and proof-of-concept sessions to define data-driven workflows with stakeholders.
  • Establish metrics and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Create reusable patterns and documentation to influence internal assets and client roadmaps.

What we're looking for

  • Minimum 10 years of experience in end-to-end software engineering and SDLC.
  • Minimum 8 years of experience in Python or Java programming and infrastructure as code (Terraform, Helm).
  • Minimum 3 years of experience with cloud-native systems including microservices, containerization, and serverless architectures.
  • Minimum 2 years of hands-on experience designing and delivering Agentic AI solutions.
  • Minimum 1.5 years of experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge.
  • Minimum 1 year of expertise in deploying agentic solutions (RAG, orchestration, context engineering) in production environments.
  • Bachelor's degree required, or an Associate Degree with at least 6 years of work experience.
  • Experience in enterprise environments and additional AI certifications are preferred.

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