About the Company
CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
About The Role
We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS — from pre-sales architecture through production deployment.
Key Responsibilities
- Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS
- Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge
- Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs
- Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams
- Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices
- Serve as primary technical point of contact for clients during active engagements
- Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS
- Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices.
Requirements
- Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway
- Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures
- Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis
- Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS
- Proven background in the AWS partner ecosystem — prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm
- Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders
- Experience leading distributed engineering teams through full delivery lifecycles on AWS
- Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)
Why Join Us
- Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.
- Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.
- Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.
- Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance. Female and minorities are strongly encouraged and preferred to apply for the role
Benefits
- Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation.
- Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.
- Life Insurance
- Performance-Based Increment
- Gym Passport Membership (Access To 250+ Gyms)