Job description

**About TrueID** TrueID is at the forefront of **AI\-led digital transformation** in the fintech and banking domain. We provide an inspiring and innovation\-driven work environment where teams build **cutting\-edge AI and Generative AI solutions** that redefine how financial institutions operate and engage with customers. At TrueID, our employees work on **global, enterprise\-scale AI initiatives** , gaining exposure to diverse markets, technologies, and cultures—accelerating both technical and professional growth in an increasingly AI\-powered world. We are actively working on building **secure, scalable, and responsible AI systems** that enhance customer experience, strengthen compliance, and drive operational efficiency—positioning our clients at the forefront of the next wave of intelligent digital transformation **Role Overview** We are looking for a **Senior AI Lead** to drive enterprise\-scale adoption of AI / ML, Generative AI \& Agentic AI systems. The ideal candidate shall lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands\-on individual contributor and, where required, leading engineering teams to ensure high\-quality, predictable outcomes. The role requires a combination of strategic leadership with deep hands\-on expertise in building AI / ML applications, LLM \& Agentic AI applications, LLMOps, and secure AI architectures, ensuring scalable, compliant, and high\-impact AI implementations. **Location:** Hyderabad **Type:** Full\-Time, On site. **Key Responsibilities** * Own enterprise AI solution architecture across AI / ML , GenAI and Agentic AI from data to deployment. * Drives AI\-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML\-powered data solutions, especially for fintech and banking sectors. * Hands\-on with platforms such as OpenAI (GPT models), Anthropic (Claude) and Open\-source LLMs (Llama, Mistral etc) * Expertise in Prompt engineering \& evaluation, Fine\-tuning, embeddings, and RAG architectures * Guide and mentor AI engineers and data scientists on architecture choices, model evaluation, and solution options. * Partner with security, compliance, and business stakeholders to ensure AI solutions meet enterprise and regulatory standards. * Continuously upskill self to inspire the team as much, to be able to build future\-ready skills, collaborate with other specialist teams, product teams, and client to co\-create innovative solutions and help tackle the challenges. * Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities. * Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production\-ready solutions driven by AI\-first mindset. Upskill consistently to get better in this and deliver innovation for customers. * Experience with multi\-agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, * Strong understanding of agent orchestration, tool usage, and memory systems * Build multi\-agent orchestration frameworks for complex workflows and enable tool\-using agents (APIs, databases, enterprise systems integration * Integrate AI into enterprise applications via APIs, microservices, and event\-driven architectures * Experience with CI/CD pipelines for AI systems LMOps tools (Weights \& Biases, MLflow, LangSmith, Arize AI) **Experience** * 10 \- 12 years in AI/ML, data science, or advanced analytics, with senior experience in enterprise solution architecture. * Hands on coding proficiency in Python * Proven experience evaluating and deploying AI models in fintech environments * Strong hands‑on expertise in model evaluation, benchmarking, and experimentation. * Demonstrated ability to influence both executive leaders and senior engineers. * Excellent ability to design, prioritize, plan and track large scale products. * Deep understanding of AI governance, observability, and lifecycle management. **Preferred Experience** * Experience evaluating **vendor AI solutions** , foundation models, Exposure to AI risk management frameworks. * Experience working in mid or large, enterprises with background in fintech / banking is a plus. **Soft Skills** * Strong leadership and stakeholder engagement skills * Ability to translate **complex business problems into AI solutions** * Excellent communication and executive presentation skills Note:\-Looking for only immediate joiners, interested candidates send your resume to **sarika.m@trueid.in**