AI Architect (Solutioning & Design)

Translate business requirements into  AI-driven solution architectures Design end-to-end systems including  data pipelines, model development, deployment, and monitoring Define  reference architectures, reusable frameworks, and best practices 2.
Stakeholder Engagement Collaborate with business leaders, product managers, and engineering teams to  identify AI opportunities Act as a  trusted advisor , explaining AI capabilities, trade-offs, and ROI Lead solution workshops, PoCs, and technical discussions 3.
Technology Leadership Select appropriate tools, platforms, and frameworks (e.
g., TensorFlow, PyTorch, cloud AI services) Architect solutions leveraging  cloud platforms (AWS / Azure / GCP)  and modern data stacks Ensure scalability, reliability, and performance of AI systems 4.
Governance & Responsible AI Define and enforce  AI governance, ethics, and compliance standards Ensure solutions adhere to  security, privacy, and regulatory requirements Implement model explainability, bias detection, and monitoring mechanisms 5.
Delivery Oversight Guide development teams through implementation Review code, models, and architectures to ensure quality Drive PoCs to production-ready solutions Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field 10+ years of experience in technology, with  5+ years in AI/ML architecture or solutioning Strong experience in: Machine Learning, Deep Learning, NLP, or Generative AI Designing distributed and scalable systems API-first and microservices architecture Hands-on experience with: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn) MLOps tools (MLflow, Kubeflow, SageMaker, etc.
) Data platforms (Spark, Databricks, Snowflake) Preferred Skills: Experience in  Generative AI / LLM-based solutions Knowledge of  RAG architectures, prompt engineering, vector databases Familiarity with  DevOps / MLOps pipelines Experience in regulated industries (Banking, Healthcare, etc.
) Strong communication and presentation skills Key Competencies: Solution-oriented mindset Strategic thinking with hands-on execution ability Strong problem-solving and analytical skills Ability to influence senior stakeholders