AI Engineering Sr Director or VP, Data Science

Blend360 is a premier AI services provider dedicated to creating meaningful impact through data science and AI. They are seeking a strategic leader with deep technical expertise in Generative AI to guide clients through complex AI technology and business applications, ensuring innovation from conception to implementation.

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, with a 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
• Other Generative Models: Familiarity with diffusion models, GANs, or other generative architectures is a plus
• Agentic AI Systems: 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