AI Native Software Engineer

Salary: $112,900 - 366,300 per year Requirements: We need at least 8 years of experience building and shipping production software. We need at least 8 years of experience working across the full stack, including frontend and backend systems. We need at least 8 years of software engineering fundamentals, including system design, data modeling, APIs, testing, cloud-native development, security, observability, and production operations. We need at least 2 years of hands-on AI-native engineering experience in day-to-day work, such as building with LLM APIs, coding agents, agent frameworks, tool integrations, retrieval systems, evaluation frameworks, or production guardrails. We need at least 1 year of experience building reliable AI or agentic systems beyond a prototype or demo, with a track record of taking products or major capabilities from zero to one and owning them through production. We need demonstrated ability to use AI development tools to significantly increase engineering leverage without lowering quality. We need a bachelors degree or equivalent (minimum 12 years of work experience); if holding an associates degree, we need at least 6 years of work experience. We need excellent judgment under ambiguity and the ability to make progress without complete information. We need strong product instincts and the ability to recognize what makes a product useful, intuitive, and well crafted. We need the ability to communicate technical decisions clearly and work closely with product managers, designers, customers, and domain experts. We need a genuine interest in frontier AI and a habit of testing new models, tools, and engineering approaches in practice. Responsibilities: We own meaningful product capabilities end to end, including application architecture, data models, backend services, APIs, integrations, AI systems, and user experiences. We work directly with product managers and designers to turn customer problems into simple, high-quality products. We move between prototyping and production engineering, making thoughtful tradeoffs between speed and investment in scale, security, and reliability. We design and implement agentic systems, including model interactions, tool use, retrieval, orchestration, state management, evaluations, observability, and guardrails. We build products that perform reliably in complex real-world industry workflows, not just controlled demonstrations. We use customer feedback, product data, evaluations, and operational signals to continuously improve the product. We use coding agents and AI development tools throughout the engineering lifecycle, creating the context, specifications, tests, development environments, CI pipelines, and evaluation systems needed for safe and efficient agent work. We direct multiple streams of agent-assisted work where appropriate, review outputs critically, and remain accountable for everything that reaches production. We translate ambiguous product opportunities into clear technical approaches and executable plans. We make architecture decisions for new product areas and carry them from prototype through production. We balance speed, simplicity, extensibility, security, cost, and operational reliability. We identify where the team should build, buy, integrate, or deliberately defer. We stay close to users and customers and understand the workflows our software is changing. We own reliability, observability, security, performance, and maintainability in production. We provide rigorous technical review on the most important work. We help other engineers improve their judgment, execution, and use of AI-native development practices. We contribute to shared architecture, tools, standards, and operating practices across the broader product engineering organization. We help define how small, AI-native product teams should work as the company grows. Technologies: AI Backend Cloud Frontend LLM Security More: We are partnering with Accenture to hire for a permanent product engineering role on a small, highly capable team building a new portfolio of agentic software products. This is a hybrid position requiring onsite work in Seattle, New York, and/or Mountain View, and may include travel from 0-100%. Accenture offers market-competitive benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. The role includes a posted annual salary range that varies by location. Accenture is a leading global professional services company with approximately 791,000 people serving clients in more than 120 countries, with deep capabilities in cloud, data, AI, and industry expertise. We are committed to diversity, inclusion, and creating a strong sense of belonging across our organization. last updated 36 week of 2026