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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Native Software Engineering Senior Analyst - **Company:** Accenture - **Location:** St. Petersburg, FL, United States - **Experience:** Expert - **Salary:** $70,350.0 - $177,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Continuous Integration, Github, Python (Programming Language), OpenAI, Software Engineering, Retrieval-Augmented Generation, Prompt Engineering, Agentic-AI, Event Driven Architecture, Build Management, Containerization, AI Platforms, Kubernetes, Information Technology, Data Analytics, Claude, Terraform, Serverless Computing, Docker, Microservices - **Published:** October 15, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3448865828&tx=HT8478THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Minimum of 2 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). * Minimum of 2 years strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm) * Minimum of 6 months of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments. * Minimum of 6 months experience with modern AI platforms - OpenAI, Claude, Vertex AI, or open-source models - including building or using abstraction layers for multi-provider pipelines. * Minimum of 1 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity. * Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) ## Description * Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. * Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly. AI Platform Integration * Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement. * Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud-Native Engineering * Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems. * Own deployment, monitoring, and troubleshooting for your services in production. Domain-Specific Workflows * Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints. * Work closely with client SMEs to translate business workflows into agentic solutions. Client Engagement * Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. * Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences. Measure & Improve * Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. * Iterate rapidly based on data, feedback, and changing requirements. Knowledge Sharing * Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps. * Contribute to internal communities of practice around AI-native and agentic engineering. This is a hybrid role in Columbus, OH and requires 3 days per week in the office. May consider qualified applicants in Tampa, FL; Atlanta, GA; Chesterbrook, PA; Dallas, TX; or Houston, TX. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements., * Relevant AI certifications or agentic tooling experience are a plus. * You've served as an Agentic / AI Engineer in an enterprise environment. * You've built multi agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc). * Have a GitHub repo with an agent/plugins you have created * You have additional AI certifications or experience with agentic tooling and frameworks. * You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures. * You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. * You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs. * Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes. 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 for roles that may be hired as set forth below.