Job Title:Manager- Happy Robot

Job Location:Chennai

This roleisresponsible for configuring, deploying, operating, and continuously improving AI-powered automation solutions on the HappyRobots platform.This role focuses on low-code / no-code GenAI product configuration and ensures AI solutions are production-ready, compliant, scalable, cost-optimized, and ethically sound. The position serves as a critical execution layer between Business Unit IT (BUIT) priorities and real-world AI deployments, enabling reliable and responsible AI automation across digital and voice channels.

Key Responsibilities:

GenAI Product Configuration & Deployment

Configure and deploy low-code/no-code GenAI-powered conversational and automation solutions on the HappyRobots platform.

Implement workflows, business rules, orchestration logic, and integrations based on BUIT-defined priorities and solution designs.

Perform prompt engineering, policy engineering, and guardrail configuration for LLM-powered agents.

Configure multi-channel AI experiences across voice, email, SMS, and chat.

Data Preparation, Annotation & Model Enablement

Perform data annotation, labeling, cleansing, and validation for structured and unstructured datasets.

Design and generate synthetic data when real data is insufficient or unavailable.

Support training, fine-tuning, testing, and evaluation of AI models (including LLM-based workflows).

Ensure data quality, lineage, and traceability across training and inference pipelines.

Testing, Validation & Responsible AI

Conduct functional, performance, and regression testing of configured AI solutions.

Prepare audit logs, model cards, decision records, and test documentation.

Evaluate AI solutions for:

Bias and fairness

Ethical compliance

Explainability and transparency

Ensure adherence to Responsible AI, data privacy, and regulatory standards.

Production Support & Continuous Improvement

Monitor AI solutions in production for:

Accuracy and response quality

Latency, availability, and throughput

Cost and token usage optimization

Perform issue analysis, root cause identification, and corrective actions.

Implement continuous improvements through prompt refinement, workflow optimization, and configuration updates.

MLOps & Platform Operations

Support model lifecycle management, including versioning, upgrades, rollback strategies, and registry management.

Assist with platform and model upgrades while ensuring solution stability.

Collaborate on deployment pipelines, monitoring dashboards, and alerting mechanisms.

Support scaling, reliability, and resilience of AI solutions.

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Integration & Backend Enablement

Configure and manage API integrations with internal systems and third-party platforms.

Support data flows across conversational agents, databases, and enterprise systems.

Work with backend services for authentication, security, and system interoperability.

Operational & Automation Use-Case Enablement

Enable AI Workers and automation use cases such as:

Appointment scheduling

Vendor coordination

Shipment tracking

Document ingestion and data entry

Configure contextual understanding in TTS and voice-based AI, including tone, rhythm, and intent fidelity.

Support document processing workflows, including extraction, validation, and system handoffs.

RequiredQualification &Skills:

Bachelor's orMaster's in Computer Science, Engineering, Data Science, or related field.

Minimum 3 years of relevant experience in the GenAI domain

Proficiency in Python (mandatory) for AI workflows, automation, and data processing.

Full-stack experience with React, TypeScript, and Node.js.

Strong understanding of APIs, backend services, and system integrations.

Hands-on experience building and operating AI-powered applications.

Practical expertise in:

Large Language Model (LLM) prompting and tuning

Prompt orchestration and policy engineering

Understanding of ML/DL fundamentals

Experience working with conversational AI, NLP, and GenAI platforms.

Experience with data pipelines, preprocessing, and dataset management.

Exposure to MLOps practices, including:

Model deployment

Monitoring and evaluation

Scaling and cost optimization

Familiarity with model/version registries and lifecycle management.

Working knowledge of database design and processing (SQL/NoSQL).

Understanding of data modeling for conversational and automation workloads.

Advanced analytical and reasoning abilities to interpret AI behavior and outcomes.

Experience configuring multi-channel conversational systems (voice and digital).

Strong grasp of workflow coordination and automation logic.

Understanding of context-aware TTS systems and voice AI design considerations.

Hands-on experience with document processing and intelligent data entry workflows.

Experience with low-code / no-code AI platforms or enterprise automation tools.

Familiarity with Responsible AI frameworks, model governance, and compliance controls.

Exposure to cloud environments (Azure, AWS, or GCP) in AI deployments.

Understanding of cost controls and token management for LLM-based systems.

Comfort working in cross-functional teams (Product, BUIT, Compliance, Ops).

Strong documentation and operational handover skills.

Manager - Business Support- Happy Robot