ByteWise Techlabs is hiring for a top-tier Indian enterprise seeking a transformative leader to head its AI Lab initiatives. This is a high-impact leadership role for someone who can drive AI programs from strategy to scaled deployment while leading a talented team and engaging with CXOs across multiple business units. Key ResponsibilitiesLead end-to-end AI project lifecycle—from problem definition to deployment and adoption.Translate business goals into measurable AI use casesManage and mentor a cross-functional AI teamOversee vendor selection and platform/tool decisionsCollaborate with internal and external stakeholders for alignment and integrationTrack impact metrics and proactively mitigate risksContribute to AI maturity through communication, enablement, and upskilling initiatives Ideal Background7+ years of experience in digital transformation, AI/ML, data science, or similar domainsProven leadership in delivering complex, enterprise-scale tech programsStrong understanding of AI and Gen AI trends and technologiesExperience working with partners, vendors, and system integratorsExcellent communication and stakeholder management skills Preferred QualificationsBachelor's or Master's in Computer Science, Data Science, or related fieldsMBA or certifications in AI/GenAI are a plus Why JoinOpportunity to shape a group-wide AI roadmap at the enterprise levelExposure to C-level decision-making and cross-industry innovationPlay a strategic role in India’s digital transformation storyIf you're passionate about AI-led innovation at scale and want to work at the intersection of business, technology, and impact, this role is for you.
ByteWise Techlabs is helping a top-tier enterprise AI team hire a versatile GenAI Engineer who can build intelligent solutions and drive structured project execution . This hybrid role is ideal for professionals passionate about GenAI , hands-on with Python and LLM workflows , and skilled in managing cross-functional collaboration to deliver real-world business impact. If you enjoy working at the intersection of deep tech and delivery — experimenting with AI while ensuring things get shipped — this could be your next big opportunity. Key Responsibilities Design, build, and iterate GenAI/ML models using Python, OpenAI APIs, LangChain, Hugging Face, and vector databases like FAISS or Pinecone Translate ambiguous business problems into ML-ready workflows (e.g., data prep, RAG pipelines, prompt engineering) Write modular, scalable, version-controlled code that connects GenAI systems with internal APIs or services. Collaborate with product owners, tech teams, and external partners to co-develop GenAI solutions. Conduct prompt engineering and integrate LLMs into end-to-end automation flows. Drive UATs, track execution plans, manage dependencies, and ensure timely delivery of AI features. Document configurations, results, and learnings are clearly documented for knowledge-sharing Stay ahead of emerging trends in AI/GenAI and identify experimentation opportunities. What We’re Looking For We value both technical depth and structured delivery discipline. Required Experience: 4–6 years in AI/ML, GenAI, or applied data science / tech-enabled roles Strong Python coding skills; hands-on with libraries like NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch Experience working with GenAI APIs and tools: OpenAI, LangChain, Hugging Face Familiarity with prompt engineering, LLM orchestration, and RAG pipelines Experience with vector databases like FAISS or Pinecone Comfort with Git, APIs, and deployment on GCP, AWS, or Azure Exposure to managing timelines, partner collaboration, and structured delivery cycles Clear, structured thinker who communicates well across tech and business stakeholders Comfortable working from or relocating to Mumbai (hybrid setup) Why This Role Is Unique End-to-end ownership: prototype, collaborate, deploy Solve real enterprise problems, not just build demos Be part of a high-performance team blending AI innovation with execution rigour Operate at the cutting edge of GenAI adoption in India’s top enterprise settings Show more Show less