AI Tech Lead (Manager)

Responsibilities

• Lead implementation and delivery of AI applications across teams.
• Design end-to-end AI architectures integrating open-source and enterprise tools.
• Translate business requirements into scalable AI solutions.
• Define architecture roadmaps and best practices.
• Build data pipelines, CI/CD, and monitoring systems.
• Deploy scalable systems using Docker and Kubernetes.
• Ensure performance, scalability, and security.
• Oversee full AI development lifecycle.
• Manage project timelines and risks.
• Mentor teams and drive knowledge sharing.
• Key Skills:
• AI frameworks: LangGraph, AutoGen, CrewAI.
• Strong Python with TensorFlow, PyTorch, Keras.
• Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers).
• Cloud platforms: AWS / Azure / GCP.
• Docker, Kubernetes, CI/CD tools.
• Terraform / CloudFormation (IaC).
• SQL & NoSQL databases.
• Distributed systems, REST APIs, GraphQL, microservices.
• Kafka / RabbitMQ or event-driven systems.

Requirements

• Hugging Face, OpenAI APIs, LLM integrations.
• MLOps / LLMOps experience.
• LLM fine-tuning (GPT, LLaMA, etc.).
• Monitoring tools: Prometheus, Grafana, ELK.
• Cloud certifications (AWS/Azure/GCP).
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Additional Information

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. AI Tech Lead - Manager Experience- 8-12 years Job Overview: We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies.

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