AI Native Full Stack Developer — Senior Manager
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Key skills for this role
About the Role
Accenture is seeking a hands-on AI Native Full Stack Developer Senior Manager to lead and deliver complete AI-native solutions end to end. You will design, build, and scale agentic workflows, define AI-native development practices, and act as a trusted technical advisor.
Key Skills for This Role
Responsibilities
- Lead the design and build of complete AI native solutions, making architectural decisions while staying hands on throughout delivery
- Define and champion AI native development practices across the team and engagement, applying AI across design, code generation, testing, review, and delivery
- Build enterprise grade AI agents for production, including retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and observability
- Own evaluation approaches and define accuracy, latency, safety, and cost metrics for production agentic systems
- Design, develop, and enhance custom software components across distributed systems using modern frameworks and scalable architecture patterns
- Build abstraction layers across AI providers such as Anthropic, OpenAI, Google, and similar platforms for flexible, scalable multi provider architectures
- Ship scalable cloud native systems using Kubernetes, Docker, microservices, serverless, event driven patterns, CI/CD, and observability
- Lead workshops, POCs, and code with sessions as a trusted technical advisor, shaping solutions that align to each client’s industry, domain, and operating environment
Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent
- Minimum 8 years building and shipping cloud native systems, including APIs, microservices, containerization, serverless, production delivery, CI/CD, infrastructure as code, monitoring, and debugging
- Demonstrated ability to independently lead and ship an entire AI native or agentic solution end to end while staying hands on
- Deep experience working within — and ideally shaping — an AI native software development lifecycle across design, build, testing, review, and delivery
- Hands on experience designing and deploying production grade agentic AI solutions, including agents, orchestration, context engineering, RAG, and workflows
- Minimum 2 years with AI platforms such as Claude, OpenAI, Vertex AI, and open source models, including multi provider architectures
- Strong expertise in custom application development and modern software development practices, with strong programming ability in Python, Java, or equivalent
- Proven ability to design scalable, enterprise level solutions across multiple teams and systems while leading client facing technical delivery
- Travel flexibility based on business needs
- Familiarity with evaluation tooling, logging, monitoring, and agent observability
- Strong client facing ability, including leading technical workshops and delivering under ambiguity
- Experience leading client teams through adoption of AI native development practices as part of a broader transformation
Full Job Posting
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 built to scale in real world settings.
You Are
- You are a hands on AI Native Full Stack Developer who can lead and deliver complete AI native solutions end to end. You stay close to the architecture and the build, set the standard for AI native ways of working, and use AI coding assistants and agents as a core part of the software development lif
The Work
- You will work directly with clients to design, build, and scale complete AI native solutions in complex enterprise environments.
Responsibilities
- Lead the design and build of complete AI native solutions, making architectural decisions while staying hands on throughout delivery.
- Define and champion AI native development practices across the team and engagement, applying AI across design, code generation, testing, review, and delivery.
- Build enterprise grade AI agents for production, including retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and observability.
- Own evaluation approaches and define accuracy, latency, safety, and cost metrics for production agentic systems.
- Design, develop, and enhance custom software components across distributed systems using modern frameworks and scalable architecture patterns.
- Build abstraction layers across AI providers such as Anthropic, OpenAI, Google, and similar platforms for flexible, scalable multi provider architectures.
- Ship scalable cloud native systems using Kubernetes, Docker, microservices, serverless, event driven patterns, CI/CD, and observability.
- Lead workshops, POCs, and code with sessions as a trusted technical advisor, shaping solutions that align to each client’s industry, domain, and operating environment.
What You’ll Need
- Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.
- Minimum 8 years building and shipping cloud native systems, including APIs, microservices, containerization, serverless, production delivery, CI/CD, infrastructure as code, monitoring, and debugging.
- Demonstrated ability to independently lead and ship an entire AI native or agentic solution end to end while staying hands on.
- Deep experience working within — and ideally shaping — an AI native software development lifecycle across design, build, testing, review, and delivery.
- Hands on experience designing and deploying production grade agentic AI solutions, including agents, orchestration, context engineering, RAG, and workflows.
- Minimum 2 years with AI platforms such as Claude, OpenAI, Vertex AI, and open source models, including multi provider architectures.
- Strong expertise in custom application development and modern software development practices, with strong programming ability in Python, Java, or equivalent.
- Proven ability to design scalable, enterprise level solutions across multiple teams and systems while leading client facing technical delivery.
- Travel flexibility based on business needs.
- Familiarity with evaluation tooling, logging, monitoring, and agent observability.
- Strong client facing ability, including leading technical workshops and delivering under ambiguity.
- Experience leading client teams through adoption of AI native development practices as part of a broader transformation.
Bonus Points If You Have
- Experience as an Agentic AI builder or Forward Deployed Developer in enterprise environments.
- Experience with enterprise grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream based architectures.
- Strong grasp of the AI native paradigm, combining cloud native and generative AI for scalability and performance.
- Experience delivering solutions across multiple industries such as finance, healthcare, or retail.
- AI certifications or hands on experience with advanced agentic frameworks and tooling.
Compensation
- British Columbia/Ontario CAD 119,700 to CAD 247,800
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