AI Solution Lead.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a prominent computer software company known for its innovative solutions and commitment to technological advancement. They operate on a global scale, delivering cutting-edge products and services to a diverse client base. The company fosters a culture of continuous learning, collaboration, and impact, empowering its employees to drive significant business outcomes.
About the role.
As an AI Solution Lead, you will be at the forefront of designing, developing, and deploying AI-first solutions that transform business workflows. This techno-functional role involves deeply understanding business needs, translating them into robust AI designs, and owning the end-to-end solution lifecycle from prototyping to production. You will work closely with stakeholders to define business cases, ensure value realization, and drive the adoption of agentic AI technologies within enterprise environments.
What you will do.
- Translate complex business problems into technical AI solution designs by understanding workflows, data landscapes, and systems.
- Rapidly build and deploy AI prototypes, POCs, and pilots, guiding them through to production and enterprise adoption.
- Design and develop agentic workflows, advanced RAG pipelines, LLM integrations, and human-in-the-loop systems.
- Own the end-to-end deployment process, including environment setup, CI/CD, LLMOps/MLOps, monitoring, and guardrails.
- Act as a trusted technical advisor to stakeholders, leading demos, workshops, and technical deep dives.
- Define success metrics and demonstrate measurable business outcomes such as productivity gains, cost reduction, and revenue uplift.
- Collaborate with platform engineering, data science, and delivery teams across various geographies.
- Create reusable assets, accelerators, playbooks, and documentation from multiple deployments.
What you bring.
- 8–12 years of experience in software engineering, applied AI/ML, or solution engineering, with 2+ years in GenAI/LLM development.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong hands-on software engineering skills (Python and/or TypeScript), including APIs, microservices, and cloud-native development on AWS, Azure, or GCP.
- Practical experience building with agentic AI frameworks such as LangGraph, LangChain, CrewAI, and emerging standards like MCP.
- Deep working knowledge of foundation models and platforms, including OpenAI, Anthropic Claude, and open-source LLM stacks.
- Experience with LLMOps/MLOps: evaluation, monitoring, guardrails, versioning, and cost/performance optimization in production.
- Proven track record of shipping production GenAI/agentic AI solutions for enterprise functions.
- Ability to design solutions within enterprise-grade architecture, security, and responsible AI guardrails.
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