AI Engineering Sr Director, Data Science
Posted 10ds ago
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Job Description
AI Engineering Sr Director responsible for strategic leadership in AI solutions at Blend360. Leading technical design and implementing complex AI projects for diverse clients.
Responsibilities:
- Lead the technical design, development, and architecture of cutting-edge AI and Generative AI solutions
- Serve as a trusted technical advisor to national and international clients, guiding them from strategic planning stages through to the pilot and full-scale implementation of complex AI and GenAI projects
- Provide hands-on technical leadership and guidance throughout the entire project lifecycle, from proof-of-concept to pilot and full-scale production deployment
- Drive thought leadership in the evolving landscape of GenAI, large language models (LLMs), agentic AI systems, and emerging AI techniques
- Actively participate in presales activities, providing deep technical expertise for proposal development, solution architecture, and technical scoping
- Collaborate with clients to understand their business challenges and translate them into actionable AI strategies and technical roadmaps
- Lead and manage specific technical workstreams within complex projects, ensuring deliverables meet the strategic goals, technical excellence, and quality standards expected by our clients
- Contribute to the continuous development and technical refinement of Blend360's AI and Generative Solutions offerings.
Requirements:
- 10+ years of proven experience in technical consulting, solution architecture, or a similar role
- Strong recent focus (at least 5-7 years) on the design, development, and implementation of advanced AI/ML and Generative AI solutions
- Deep and practical technical expertise in Generative AI (GenAI) technologies, including Large Language Models (LLMs): Architecture (e.g., Transformers), fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and deployment strategies
- Familiarity with diffusion models, GANs, or other generative architectures is a plus
- Experience in designing and implementing multi-agent systems or autonomous agents
- Proficiency with core AI/ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LangGraph, Crew.ai or equivalent
- Programming experience in Python, with experience in developing and deploying production-grade AI applications
- Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Azure ML) and MLOps practices for scaling and managing AI models
- Demonstrated ability to engage confidently with clients at all levels, translating complex technical concepts into clear business value and articulating technical solutions effectively
- Proven track record in supporting business development, including technical presales, solution architecture for proposals, and identifying new opportunities
- Exceptional strategic consulting abilities, with a knack for translating ambiguous business problems into workable AI/GenAI solutions and developing clear technical roadmaps for implementation
- Strong analytical, architectural, and problem-solving skills, with the ability to navigate complex data environments and design robust technical solutions
- Excellent communication, presentation, and interpersonal skills, capable of working effectively with cross-functional technical and business teams
- Ability to lead technical projects and make strategic architectural decisions in a fast-paced, evolving environment
- A strong desire to stay at the cutting edge of AI advancements and continuously learn and apply new technologies
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a closely related quantitative field
- A Ph.D. in a related field is a significant plus.
Benefits:
- Impactful Technical Work
- Growth Opportunities
- Collaborative Culture
- Bold Vision


















