You Are

You are a hands-on technical leader with deep software and cloud engineering foundations who can guide and deliver complete AI-enabled solutions end to end. You use AI-native development tools and autonomous agents as a core part of the software development lifecycle while remaining accountable for architecture, quality, security, and production outcomes.

You can distinguish between using AI effectively to build applications and building production-grade agentic applications. You set the technical direction, stay close to the build, and help teams adopt evolving AI-native practices without tying delivery to a single tool or provider.

The Work

You will work directly with clients to shape use cases, architecture, and delivery for secure, scalable AI-enabled solutions. You will lead multidisciplinary teams from prototype through production, integrating applications across enterprise systems while establishing practical standards for AI-native engineering.

Responsibilities

• Lead the architecture and hands-on delivery of complete AI-enabled solutions across full stack, cloud, data, and AI components.
• Lead clients in adopting agentic AI across the SDLC by designing and implementing reusable harnesses and agents that automate and improve software engineering workflows.
• Set and champion AI-native software development practices across design, coding, testing, code review, documentation, and delivery.
• Guide teams in creating and customizing skills, agents, and subagents that improve individual and team engineering workflows.
• Ensure solutions are grounded in strong software engineering and cloud engineering practices, including secure design, automated testing, CI/CD, observability, and operational readiness.
• Design and deliver production-grade agentic applications, including orchestration, context management, tool invocation, evaluation, observability, guardrails, and agent FinOps.
• Define evaluation approaches and production metrics for accuracy, latency, safety, reliability, and cost.
• Shape data and knowledge foundations for agentic solutions, including data management, ontologies, knowledge management, retrieval, and graph-based patterns.
• Lead client workshops, proofs of concept, and code-with sessions as a trusted technical advisor, translating ambiguity into executable architecture and delivery plans.

What You’ll Need

• Bachelor’s degree or college diploma in a related field.
• Minimum 8 years of relevant experience building and shipping full stack, distributed, or cloud-native systems, including technical leadership across complex delivery environments.
• Strong software engineering and cloud engineering foundations, with experience building and shipping scalable applications, APIs, microservices, and distributed systems.
• Hands-on full stack development experience using modern front-end and back-end technologies, such as React or Angular and Node.js, Python, Java, or equivalent.
• Demonstrated fluency with current AI-native development tools and agent modes across design, coding, testing, code review, documentation, and delivery, with the adaptability to learn new tools as the ecosystem evolves.
• Ability to create and customize skills, agents, and subagents that support day-to-day engineering work and improve team delivery.
• Experience with cloud-native delivery practices, including containers, Kubernetes, serverless or event-driven patterns, CI/CD, infrastructure as code, monitoring, and debugging.
• Experience integrating AI capabilities into applications, including LLM integration, prompt and context engineering, retrieval-augmented generation, or agent workflows.
• Strong client-facing communication and the ability to translate ambiguous business needs into working software.
• Hands-on experience with production-grade agentic systems and agent orchestration frameworks.
• Strong knowledge of evaluation, observability, guardrails, and cost management for agents.
• Strong knowledge of data management, ontologies, knowledge management, context engineering, loop engineering, or graph engineering.
• Proven ability to lead client-facing technical delivery and guide teams through adoption of AI-native development practices.
• English is required for this position as this role will be aligned to multi-national teams where English is the common language across our North America Market. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Bonus Points If You Have

These are not required, but they would help you stand out:

• Eligibility for Reliability Clearance.
• Experience with multi-agent architectures, agent registries, stream-based patterns, or compound AI systems.
• Experience with open-source plugins or specification-driven development frameworks.
• Machine learning background, advanced AI certifications, or experience across multiple industries.
• Experience designing flexible architectures across multiple AI model or platform providers.

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, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.  

Information on benefits is here.

Role Location                                                                                       Annual Salary Range British Columbia/Ontario/New Brunswick                                   $142,050 to $292,000

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