Software Engineering Manager — Embedded Systems Lead

Leonardo Drs; Bridgeton (MO); On-site; USD 94,000 - 305,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer to embed with clients, design and deploy agentic workflows, and scale AI-native systems across enterprise environments.

You will lead architecture, integrate AI platforms, and collaborate with stakeholders to drive data-driven automation while delivering robust, secure production solutions.

Qualifications

• Bachelor’s degree or equivalent (minimum 12 years) work experience.
• 3+ years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• 5+ years experience with AI platforms – OpenAI, Claude, Vertex AI, plus open-source models – including abstraction layers to manage multi-provider pipelines.
• 5+ years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• 5+ years experience deploying to production – CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

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 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.

Skills

Cloud-native engineering

Agentic systems design

AI platforms

Python/Java

CI/CD & IaC

Client workshops & stakeholder

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

OpenAI

Anthropic

Vertex AI

Job description

We are: A forward‑thinking services company at the forefront of AI‑native innovation. We partner with enterprise clients to create next‑generation, agent‑powered workflows engineered to scale in real‑world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are: An AI Native Engineer with a minimum of 3 years of experience building cloud‑native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI‑native engineering globally.

The Work: You’ll embed directly with clients – acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients’ environments alongside our Ecosystem partners.

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.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here’s What You Need:

• Minimum of 3 years engineering experience with cloud‑native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years experience with AI platforms – OpenAI, Claude, Vertex AI, plus open‑source models – including building abstraction layers to manage multi‑provider pipelines.
• Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 5 years experience deploying to production – CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Bonus Points If:

• You’ve served as an Agentic AI Engineer in an Enterprise environment
• Additional AI certifications or agentic tool experience is a plus.
• 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

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 06/23/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture ( Location Annual Salary Range
California $94,400 to $305,000
Cleveland $87,400 to $244,000
Colorado $94,400 to $263,500
District of Columbia $100,500 to $280,600
Illinois $87,400 to $263,500
Maine $80,400 to $224,500
Maryland $94,400 to $263,500
Massachusetts $94,400 to $280,600
Minnesota $94,400 to $263,500
New York $87,400 to $305,000
New Jersey $100,500 to $305,000
Virginia $87,400 to $280,600
Washington $100,500 to $280,600
#LI‑NA‑FY25

Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.