Agent Deployment Manager

About the Role We are looking for an Agent Deployment Manager someone who sits at the intersection of prompt engineering, workflow design, client interaction, and AI-driven problem solving. This is not a traditional role where you must already be an AI expert. Instead, it’s a role for someone who is curious, analytical, detail-oriented, and excited about shaping how organizations in India use LLM agents to achieve real business impact.

You will work closely with the Product, Operations, and Client teams to: • Understand business problems deeply • Translate them into structured, effective agent workflows • Build, test, deploy, and optimize LLM agents • Continuously monitor their performance and improve outcomes. Key Responsibilities 1. Agent Workflow Design & Development • Understand and gather client requirements across industries and problem statements. • Build end-to-end agent workflows that map to business objectives and user journeys. • Write, refine, and optimize prompts for LLM-driven conversation, decision-making, and automation. • Translate ambiguous requirements into structured logic, rules, and safeguards. 2.

Testing, QA & Optimization • Test agent outputs across scenarios, edge cases, and real-world conditions. • Identify gaps in quality, logic, and user experience. • Run iterations to improve accuracy, efficiency, and business alignment. • Benchmark performance and propose improvements using data-driven insights. 3. Deployment & Campaign Launch • Set up, configure, and launch agent campaigns for clients. • Collaborate with internal teams to ensure seamless handoff into production. • Configure rules, integrations, and workflows within Navana’s platform. • Ensure full readiness before going live — across tools, logic, and client expectations. 4. Performance Monitoring & Continuous Improvement • Track key KPIs such as completion rates, conversion rates, error rates, and business impact. • Troubleshoot issues and implement improvements quickly. • Work with Product and Engineering to build internal systems that maximize agent reliability and outcome delivery. • Maintain documentation and structured processes for continuous scaling. 5.

Client Collaboration & Business Impact Delivery • Work directly with clients to understand use-cases and align agent behavior with business goals. • Present insights, improvements, and new opportunities for impact. • Ensure that every deployment is tied to real results: efficiency gains, revenue uplift, cost reduction, or improved CX. Required Skills & Experience • 1–3 years of experience in operations, product, engineering, customer success, program management, or any analytical/problem-solving role. • Experience working with or around AI systems, chatbots, LLM tools, or workflow automations is a strong plus, but not mandatory. • Mandatory proficiency in Tamil Language. • Strong communication skills — ability to understand, articulate, and refine requirements. • Prompt-writing or prompt-engineering experience is a plus. • Basic understanding of AI/ML concepts (training, prompts, evaluation, hallucinations, feedback loops). • Analytical mindset; ability to diagnose issues quickly and logically. • Attention to detail and comfort working in fast-paced environments. • Familiarity with one or more Indian languages is preferred (to help build and test multilingual agents). Tools & Capabilities • Basic familiarity with LLM tools (ChatGPT, Claude, Gemini, etc.) • Comfortable learning workflow or automation platforms. • Ability to write clear documentation, test cases, and prompt libraries. • Understanding of dashboards, error logs, or KPI trackers is a plus.

Personal Attributes • High Ownership: You take responsibility for outcomes, not just tasks. • Systems Thinker: You look for ways to improve reliability, automation, and internal processes. • Problem Solver: You enjoy breaking down complex requirements into structured workflows. • Curious & Fast Learner: You’re excited about mastering AI tools and experimenting with them. • Detail-Oriented: You notice inconsistencies and resolve them proactively. • Impact-Driven: You care about delivering measurable results to clients. • Collaborative: You work smoothly with Product, Engineering, and Client teams. • Startup Mindset: You adapt quickly, iterate fast, and stay resilient.