AI Solutions Lead
Build compelling AI, Generative AI, and agentic AI solutions that transform client challenges into practical, scalable, and measurable business outcomes.
Location: Hyderabad, India
Experience: 8 to 12 years
Employment Type: Full Time
Work Model: Work from Office, 5 days a week
Role Overview
We are looking for a hands-on AI Solutions Lead to build client-specific prototypes, showcase Covalense Global’s AI capabilities, and shape high-value enterprise AI opportunities.
You will combine deep technical expertise with strong client-facing communication. You will work with CXOs, technology leaders, architects, sales teams, and delivery teams to conduct discovery sessions, develop POCs, deliver live demonstrations, and translate successful concepts into scalable solution roadmaps.
Key Responsibilities
- Build POCs, prototypes, demonstrations, and reusable accelerators for AI, Generative AI, and agentic AI use cases.
- Translate client challenges into practical AI solution concepts, architectures, and measurable business outcomes.
- Develop AI agents and multi-agent workflows integrated with enterprise data, APIs, tools, and applications.
- Design RAG pipelines, semantic search, embedding workflows, vector retrieval, and knowledge-grounding solutions.
- Conduct discovery workshops to assess business value, data readiness, technical feasibility, security, and adoption requirements.
- Present solution narratives, technical deep-dives, and live demonstrations to CXOs, IT leaders, and engineering teams.
- Evaluate AI solutions for accuracy, relevance, safety, reliability, latency, scalability, and cost.
- Implement guardrails, secure tool access, human oversight, observability, and responsible AI practices.
- Collaborate with Technical Directors and Architects to align POCs with platform architecture and engineering standards.
- Convert successful prototypes into pilots, MVP roadmaps, reusable assets, and structured delivery handovers.
- Share client and market insights with Product, Engineering, Sales, and Presales teams to influence solution roadmaps.
- Mentor delivery teams on LLM applications, agentic workflows, evaluation techniques, and enterprise AI practices.
- Represent Covalense Global at client forums, conferences, webinars, and industry events.
- Create thought-leadership content, including blogs, whitepapers, solution briefs, and technical perspectives.
Required Qualifications
- 8 to 12 years of technology experience, including substantial hands-on experience building AI, ML, or Generative AI solutions.
- Strong Python programming skills with the ability to rapidly develop functional, client-ready prototypes.
- Experience building LLM-powered applications, AI agents, or multi-agent workflows.
- Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, AutoGen, or equivalent.
- Strong understanding of prompt and context engineering, RAG, embeddings, semantic search, and vector databases.
- Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI, OpenAI, Claude, Gemini, or comparable platforms.
- Experience integrating AI solutions with enterprise data sources, APIs, tools, and business applications.
- Understanding of AI evaluation, observability, guardrails, privacy, security, responsible AI, and human-in-the-loop controls.
- Ability to lead discovery workshops, executive presentations, technical discussions, and live demonstrations.
- Strong solution storytelling, communication, stakeholder-management, and cross-functional collaboration skills.
Preferred Qualifications
- Experience in FMCG, CPG, Retail, or another data-intensive industry.
- Experience with DataOps, data engineering, analytics, or business intelligence.
- Familiarity with SAP, Salesforce, ServiceNow, Dynamics 365, Power Platform, or similar enterprise systems.
- Experience progressing POCs into pilots, MVPs, or production implementations.
- Experience speaking at conferences, delivering webinars, or publishing technical content.
- Familiarity with agent interoperability standards such as MCP or A2A.
