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About the Role

As an AI Native Engineer, you will be a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You will help shape the playbook for how enterprises adopt and scale AI-native engineering globally. You will embed directly with clients, acting as both technologist and trusted advisor, partnering with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

Responsibilities

Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Requirements

Minimum 10 years' experience with end-to-end software engineering and SDLC expertise.
Minimum 8 years' experience in programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
Minimum 8 years' experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Minimum 8 years' experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
Minimum of 3 years’ experience engineering cloud-native systems (APIs, microservices, containerization, serverless).
Minimum of 3 years’ experience with AI platforms — OpenAI, Claude, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Minimum of 2 years of hands-on experience designing and delivering Agentic AI solutions.
Minimum of 1.5 years' experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge.
Minimum of 1.5 years' experience using coding agents and AI-assisted software development.
Minimum of 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).

Skills

Cloud-native solutions
Agentic systems
Enterprise environments
Python
Java
Evaluation tooling
Logging
Monitoring
Agent observability
CI/CD
Infrastructure as code (Terraform, Helm)
Debugging
Client communication
Client collaboration
Technical workshops
APIs
Microservices
Containerization
Serverless
AI platforms (OpenAI, Claude, open-source models)
Multi-provider pipelines
Agentic AI solutions
Semantic models
Ontologies
Knowledge graphs
Enterprise knowledge
Coding agents
AI-assisted software development
Agent orchestration
Context engineering
RAG
Workflows

Location

California
Colorado
Connecticut
District of Columbia
Illinois
Maine
Maryland
Massachusetts
Minnesota
New York
New Jersey
Ohio
Virginia
Washington

Work Type

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Experience Level

Minimum of 3 years of experience building cloud-native solutions
Minimum 10 years' experience with end-to-end software engineering and SDLC expertise
Minimum 8 years' experience in programming in Python, Java, or equivalent
Minimum 8 years' experience deploying to production
Minimum 8 years' experience with client communication and collaboration
Minimum of 3 years’ experience in engineering cloud-native systems
Minimum of 3 years’ experience with AI platforms
Minimum of 2 years of hands-on experience designing and delivering Agentic AI solutions
Minimum of 1.5 years' experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge
Minimum of 1.5 years' experience using coding agents and AI-assisted software development
Minimum of 1 year expertise in designing and deploying agentic solutions in production environments
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Education Level

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Salary/Compensations

California $132,500 to $302,400
Colorado $132,500 to $261,300
Connecticut $132,500 to $261,300
District of Columbia $141,100 to $278,200
Illinois $122,700 to $261,300
Maine $112,900 to $222,500
Maryland $132,500 to $261,300
Massachusetts $132,500 to $278,200
Minnesota $132,500 to $261,300
New York $122,700 to $302,400
New Jersey $141,100 to $302,400
Ohio $122,700 to $241,900
Virginia $122,700 to $278,200
Washington $141,100 to $278,200

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

About the Company

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Opportunity

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization.
As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment employment opportunities to our service men and women.