AI Native Software Engineer - Products

About the role

Accenture is building a new portfolio of agentic software products in industries where we have decades of transformation experience. We start with unique advantages: deep industry expertise, trusted relationships with many of the world’s largest organizations, and direct access to the complex workflows and problems that matter most to them. This allows us to build closely with customers while creating repeatable products for broad market adoption.

We are forming small, highly capable product teams that bring together product management, design, and engineering with the autonomy to move quickly, make decisions, and own outcomes from prototype through production and scale. This is a permanent software engineering role within one of these product teams—it is not a consulting delivery, data engineering, product management, or forward-deployed engineering role.

Responsibilities

• Build and ship across the full stack. Own meaningful product capabilities end-to-end, including application architecture, data models, backend services, APIs, integrations, AI systems, and user experiences.
• Work directly with product managers and designers to turn customer problems into simple, high-quality products. Move comfortably between prototyping and production engineering, balancing speed with investments in scale, security, and reliability.
• Build AI-native products. Design and implement agentic systems, including model interactions, tool use, retrieval, orchestration, state management, evaluations, observability, and guardrails. Ensure products perform reliably against complex, real-world industry workflows—not just controlled demonstrations.
• Evaluate model and system behavior rigorously, understand failure modes, and improve the product through evidence.
• Work in an AI-native engineering model. Use coding agents and AI development tools extensively throughout the engineering lifecycle. Create the context, specifications, tests, development environments, CI pipelines, and evaluation systems that allow agents to produce high-quality work safely and efficiently. Direct multiple streams of agent-assisted work, review outputs critically, and remain accountable for everything that reaches production.
• Set technical direction. Translate ambiguous product opportunities into clear technical approaches and executable plans. Make sound architecture decisions for new product areas and carry those decisions from prototype through production. Balance speed, simplicity, extensibility, security, cost, and operational reliability. Identify where the team should build, buy, integrate, or deliberately defer.
• Own product and production outcomes. Stay close to users and customers to understand the workflows your software changes. Use customer feedback, product data, evaluations, and operational signals to continuously improve the product. Own reliability, observability, security, performance, and maintainability in production. Treat successful adoption and customer outcomes as engineering concerns.
• Raise the engineering bar. Provide rigorous technical review on critical work. Help other engineers improve their judgment, execution, and use of AI-native development practices. Contribute to shared architecture, tools, standards, and operating practices of the broader product engineering organization. Help define how small, AI-native product teams should work as the company grows.

Requirements

• Minimum of 8 years of experience building and shipping production software.
• Minimum of 8 years of experience building across the full stack, including frontend and backend systems.
• Minimum of 8 years of software engineering fundamentals, including system design, data modeling, APIs, testing, cloud-native development, security, observability, and production operations.
• Minimum of 2 years of substantive, hands-on AI-native engineering experience as part of your day-to-day work. This may include building with LLM APIs, coding agents, agent frameworks, tool integrations, retrieval systems, evaluation frameworks, or production guardrails.
• Minimum of 1 year of experience building reliable AI or agentic systems that operate beyond a prototype or demonstration environment, including a track record of taking products, systems, or major capabilities from zero to one and owning them through production.
• Demonstrated ability to use AI development tools to materially increase engineering leverage without lowering the quality bar.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years of work experience.)

Skills

• Excellent judgment under ambiguity and the ability to make progress without complete information.
• Strong product instincts and the ability to recognize what makes a product useful, intuitive, and well-crafted.
• Ability to communicate technical decisions clearly and collaborate closely with product managers, designers, customers, and domain experts.
• Genuine interest in frontier AI and a consistent habit of testing new models, tools, and engineering approaches in practice.

Location & Schedule

This is a hybrid role requiring onsite work in Seattle, New York, and/or Mountain View offices. Travel may be required (0-10%).

Pay

Compensation at Accenture varies based on factors such as office location, role, skill set, and level of experience. The following ranges are provided as required by local law (annual salary):

• California: $132,500 to $366,300
• Cleveland: $122,700 to $293,000
• Colorado: $132,500 to $316,400
• District of Columbia: $141,100 to $337,000
• Illinois: $122,700 to $316,400
• Maine: $112,900 to $269,600
• Maryland: $132,500 to $316,400
• Massachusetts: $132,500 to $337,000
• Minnesota: $132,500 to $316,400
• New York: $122,700 to $366,300
• New Jersey: $141,100 to $366,300
• Virginia: $122,700 to $337,000
• Washington: $141,100 to $337,000

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan with bonus opportunities.
• Paid holidays and paid time off.

For more details, visit U.S. Employee Benefits | Accenture.