Leads the design, development, deployment, and ownership of scalable Agentic AI platforms, ML pipelines, and enterprise applications. Builds reusable frameworks and data tools, optimizes performance and costs, implements security and observability, and ensures system reliability. Partners with data scientists, analysts, product managers, and designers to translate requirements into solutions while mentoring engineers and driving technical design.
WHO YOU’LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable software platforms and services.
- 7+ years of experience in software development, with a strong foundation in object oriented development, distributed systems, cloud-native architectures, and data platforms.
- Strong expertise in Agentic AI systems: generative AI, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures. You have built and delivered AI-powered solutions, not just prototyped them.
- Experience building agents using modern frameworks and protocols (MCP, A2A, LangGraph, CrewAI, or similar); you've gone beyond tutorials and built something meaningful, whether in production, a significant internal project, or a customer-facing PoC.
- Understanding LLM production concerns: grounding, guardrails, AI Governance, latency, cost optimization, and observability.
- Familiarity with knowledge graphs, vector stores, relational databases, and embedding pipelines.
- Advanced knowledge of a major ML cloud platform (AWS SageMaker, Databricks, Azure ML, GCP/ Google Vertex AI) and its ecosystem of services.
- Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
- Strong understanding of advanced data modeling techniques and modern data warehouses.
- Ability to design scalable, fault-tolerant, and maintainable distributed systems.
- A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications.
- Experience with UI/UX design principles and tools such as Figma or Adobe.
- Knowledge of security best practices and experience implementing security measures in software development.
- Strong collaboration and teamwork skills, with the ability to work effectively in a cross-functional team.
- Excellent communication and stakeholder management skills.
WHAT YOU’LL WORK ON
- Design, build, deploy, and own complete, scalable, and reliable Agentic AI and software platforms and services.
- Lead the technical design of new ML pipelines, Agentic AI services, and systems.
- Build reusable frameworks, libraries, and data management tools to improve productivity.
- Optimize performance and cost-efficiency of ML workflows and compute layers.
- Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
- Lead the development and production of agentic and AI/LLM powered enterprise applications.
- Collaborate with UI/UX designers to ensure the experiences are optimized for usability and performance.
- Implement security best practices to protect data and ensure compliance with industry standards.
- Develop and maintain automated tests to ensure the quality and reliability of the software.
- Provide technical leadership and mentorship to junior engineers.
- Ensure the uptime, reliability, and monitoring of the systems you build and own.
Similar Jobs
Other • Retail
Lead the architecture, development, and operation of scalable managed database platform services. Build and maintain Kubernetes and AWS environments, CI/CD pipelines, infrastructure-as-code automation, monitoring, security controls, and cloud-native platforms. Develop automation scripts, optimize cloud resources, collaborate with product and cross-functional teams, and mentor engineering teams. The role requires expertise in Kubernetes, AWS, DevOps tools, programming, databases, and PaaS architecture.
Top Skills:
Amazon EbsAmazon Ec2Amazon EcsAmazon EksArgo CdArtifactoryAWSAws Auto Scaling GroupsAws CloudformationAws LambdaCi/CdCrossplaneDockerGoGroovyHelmInfrastructure As CodeJenkinsKubernetesKustomizeNode.jsPaasPythonReactShellSQLTerraform
Other • Retail
Lead and technically drive Nike's multi-cloud platform engineering: design, build, operate, and govern cloud infrastructure solutions (Kubernetes, control plane, CRDs, autoscaling). Split time between hands-on engineering and leadership—shaping technical priorities, best practices, partnering cross-functionally, and mentoring cloud engineering teams.
Top Skills:
A2AAIAWSAzureControl PlaneCortexCrossplaneCustom Resource Definitions (Crds)DevOpsGenaiGoGCPJavaJavaScriptKarpenterKubernetesMachine LearningMcpMicroservicesPythonRestSplunkThanos
Other • Retail
Lead development and operation of Nike's multi-cloud access, entitlement, governance, and cost-optimization platform. Drive architecture, roadmap, squad leadership, SLO-driven operations, AI-assisted automation, and cross-region co-ownership while mentoring engineers and ensuring reliable, secure management plane services.
Top Skills:
AIAiopsAlibaba CloudAnsibleAWSAzureCdkCi/CdCloudFormationCrossplaneCSSGCPGoGraphQLHTML5IamJavaJavaScriptKubernetesLlmMachine LearningPythonRbacReactRestScp/Policy GuardrailsSloTerraform
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
