Manager - Customer Interaction Suite - Customer Interaction Suite

About The Company

Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications

Broad outline of the Role As an AI Software Developer, you will design, develop, and own end to end AI solutions for Dark NOC, an AI driven automation platform for customer operations support. You will be responsible for full stack AI development, covering model integration, application logic, APIs, workflows, and production readiness. In this role, you will work closely with the Project Manager to translate business and operational requirements into scalable, reliable, and automated AI capabilities. You will build and productionize solutions leveraging LLMs, NLP, RAG based systems, and automation workflows to enable proactive issue detection, intelligent troubleshooting, and autonomous operations. You will take complete ownership of the development lifecycle from design and implementation to testing, deployment, and optimization ensuring the Dark NOC platform delivers secure, cost efficient, measurable, and SLA aligned AI automation for enterprise customer operations. Minimum Qualifications & Experience Bachelor s degree in computer science / AI / Data Science engineering 5-10 years of experience Core Knowledge & Skills Proficiency in Python programming Strong experience developing AI-driven automation solutions using LLMs/NLP (LLaMA, Mistral, Falcon, Claude Sonnet) and RAG-based architectures Hands-on knowledge of LangChain / LlamaIndex; prompt engineering; function calling; embeddings, including prompt design, validation, and response quality evaluation Experience integrating AI models using LLM function/tool calling APIs for automated decision-making and actions Strong programming skills in Python, Node.js, or building scalable APIs and services Strong hands-on experience with REST and gRPC APIs, including: HTTP status codes Payload structures Rate limiting Retries Error handling MLOps / DevOps: Git CI/CD (GitHub / GitLab / Azure DevOps) Docker Kubernetes API gateways Observability: Prometheus Grafana Security & Compliance: Token hygiene PII redaction RBAC Hands-on experience using: Visual Studio Code (preferred for Python) Visual Studio (with Python workload) C#/.NET or Python development, including debugging, code reviews, and collaborative development workflows Hand-on development experience with MySQL or PostgreSQL Other Knowledge & Skills Exposure to working on RFP cases Knowledge of creating HLD and LLD Proficiency in: VS Code + Python FastAPI programming SIP/VoIP (Asterisk / FreeSWITCH / Kamailio) REST APIs LLM (voice bot & omnichannel CX integration) Linux development Key Responsibilities End to End Solution Design & Development Translate business and operational requirements into architecture, user stories, and technical designs for Dark NOC features. Build full stack AI capabilities: model integration (LLMs/NLP), orchestration logic, APIs/services, and workflow automation. Implement RAG pipelines (data ingestion, chunking, embeddings, vector search) and tool/function calling for autonomous actions. Model Integration & Prompt Engineering Integrate LLMs/NLU/ASR/TTS providers with robust adapters, retries, timeouts, and fallbacks. Design and maintain prompts, system policies, and tool schemas; evaluate and refine prompts for accuracy and reliability. Implement guardrails (policy enforcement, PII masking, safety filters) and quality evaluation (e.g., RAG ground truth checks). Data Engineering for Dark NOC Build data ingestion & transformation for logs, alerts, tickets, and knowledge bases. Maintain feature/knowledge freshness SLAs and data contracts with upstream systems. Integration with New Relic, Service Now, Email, chat, REST API for end-to-end automation. Testing, Quality & Evaluations Implement unit/integration/e2e tests, plus AI evaluations (groundedness, hallucination, toxicity). Create offline and shadow/A B evaluations for prompts, models, and RAG changes before production rollout. Define acceptance criteria with the Project Manager; maintain a robust regression suite. CI/CD & Operations Ready Builds Set up CI/CD pipelines with canary/blue green releases, automated rollbacks, and migration/versioning for prompts, models, and indexes. Containerize services (Docker) and deploy to Kubernetes with observability hooks and resource limits. Produce runbooks and operational toggles (feature flags, kill switches, fallback modes). Collaboration & Delivery Management Work closely with the Project Manager on scope, estimations, milestones, and risk tracking. Partner with platform, infra, and data teams to unblock dependencies and align environments and SLAs. Provide clear documentation (designs, APIs, runbooks, evaluation results) and demo increments to stakeholders. Production Support (L3 Level) Support pre prod validations and production rollouts; analyze incidents with traces/logs and drive code fixes. Own RCA for code/config issues and convert findings into tests, guardrails, and automation. Preferred Trainings/Certifications Certification - Generative AI with Large Language Models or LLMOps Certified in C# (.NET) or Python Certification or deep knowledge of SDLC, Agile, or Kubernetes