We are seeking an innovative and dynamic GenAI Lead to be part of our GenAI organization, spearheading the company's Generative AI initiatives. The role will be responsible for leading assigned projects, including SOW preparation, design, development, deployment, team leadership, and driving innovation while aligning solutions with business objectives.
Responsibilities:
Lead a team of 4-5 developers in delivering GenAI projects/initiatives
Lead the design and development of advanced Generative AI solutions, including RAG, Agentic AI systems, Agent-to-Agent orchestration, MCP (Multi-Context Processing), model fine-tuning, Text2SQL, Intelligent Document Processing (IDP), voice-based solutions, summarization, text-to-image, and text generation.
Architect and implement scalable GenAI solutions using frameworks and platforms such as Amazon Bedrock, AgentCore, and SageMaker.
Oversee the end-to-end lifecycle of GenAI solution delivery from SOW preparation, design, prototyping, and validation to production deployment and optimization.
Collaborate with cross-functional stakeholders to identify and prioritize high-impact use cases, tailoring AI solutions to specific business and domain requirements.
Monitor, evaluate, and optimize model performance, ensuring reliability, scalability, and cost efficiency in production environments.
Drive continuous research and innovation in emerging GenAI models, frameworks, and tools to enhance solution capability and efficiency.
Ensure adherence to ethical AI principles, responsible model usage, and compliance with data governance and privacy regulations.
Mandatory Experience:
7+ years in AI/ML, with 2+ years in GenAI projects
Minimum 2 years of experience in leading a team of 4+ developers, including task breakdown, allocation, tracking, monitoring, reporting, and team management.
Proficiency in Generative AI frameworks such as Amazon Bedrock, Agentcore SageMaker, Hugging Face, LangChain, Lang graph, and Strands Agent.
Strong expertise in NLP, multimodal AI, and computer vision techniques for real-world
problem solving.
Proven experience in designing, developing, and integrating GenAI solutions into enterprise-
scale applications.
Demonstrated leadership in managing and guiding cross-functional AI/ML teams and projects.
Hands-on proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, and associated AI/ML libraries.
Familiarity with MLOps practices, model deployment, and performance optimization in cloud environments.
Good written and oral English communication skills
Other Requirements:
Prior experience in a fast-paced startup environment is desirable
Prior experience in a client-facing role will be a plus
Job Type: Full-time
Pay: ?70,000.00 - ?80,000.00 per month
Work Location: In person
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