AI Native Software Engineering Senior Analyst

Accenture Plc
  • Atlanta, GA
    1 day ago

    Job Description

    We are:

    The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions.

    Stronger together!

    The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

    The value for our clients and our people

    For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

    For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges

    You are

    An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You're a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

    You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC

    The Work

    You'll partner directly with client stakeholders - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients' environments alongside our ecosystem partners.

    Agent Architecture & Engineering

    • 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.

    Numbers & Facts

    LocationAtlanta, GA

    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Best Practicesunmatched
    • Cloud Computingunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cost Effectiveness Analysisunmatched
    • Diversityunmatched
    • Dockerunmatched
    • Documentationunmatched
    • Ecosystemsunmatched
    • Financeunmatched
    • Healthcareunmatched
    • Identify Issuesunmatched
    • Integrated Circuits (ICs)unmatched
    • Microservicesunmatched
    • Operations Security (OPSEC)unmatched
    • Prototypingunmatched
    • Quality Metricsunmatched
    • Retailunmatched
    • Software Engineeringunmatched
    • Talent Managementunmatched
    • Team Playerunmatched
    • Test Harnessunmatched
    • Use Casesunmatched

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