IN_Manager_Gen AI_Emerging Business_Advisory_PAN India

<p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Job Description & Summary: </span></b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">We are looking for a skilled GenAI / Agentic AI Developer with strong Python expertise to design, develop, and deploy Generative AI and Agentic AI applications using both open-source frameworks and cloud-native AI services. The ideal candidate should be capable of modernizing existing applications into microservices-based architectures, building intelligent autonomous AI solutions, and making cost-effective AI decisions by leveraging custom ML models and Small Language Models (SLMs) where LLM usage is expensive .</span></p><p></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Job Position Title:</span></b></p><p><b></b></p><b></b> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">IN_Manager_Gen AI_Emerging Business_Advisory_PAN India</span></p><p></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Responsibilities:</span></b></p><p><b></b></p><b></b> <p class="MsoNormal" style="margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0.5in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <ul style="margin-top:0in;" type="disc"> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;"> Design and develop GenAI and Agentic AI applications using open-source and cloud-native tools</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Build autonomous AI agents capable of reasoning, planning, tool usage, and multi-step task execution</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Modernize legacy/monolithic applications into microservices-based architecture</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Implement RAG pipelines and knowledge-grounded AI systems</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Deploy and orchestrate AI workloads using cloud-native services (AWS / GCP / Azure)</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Develop APIs and microservices using Python (FastAPI / Django)</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Build and train custom ML models for use cases like demand forecasting, anomaly detection, and predictions where LLM operations are costly or overkill</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Evaluate and implement Small Language Models (SLMs) as cost-effective alternatives to LLMs for specific tasks</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Implement observability, guardrails, and evaluation frameworks for AI applications</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Make informed decisions on when to use LLMs vs. SLMs vs. traditional ML based on cost, latency, and accuracy trade-offs</span><p></p></li> </ul> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Mandatory skill sets:</span></b></p><p><b></b></p><b></b> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <table class="MsoNormalTable" border="0" cellspacing="0" cellpadding="0" width="625" style="width:468.4pt;background-size:initial;"> <tbody><tr style="border-left:1px solid #000000;height:16.45pt;"> <td width="157" valign="bottom" style="width:117.85pt;border:solid #CDCDCD 1pt;border-right:none;background:#ECECEC;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:16.45pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Area</span></p><p></p> </td> <td width="467" valign="bottom" style="width:350.55pt;border:solid #D1D5DB 1pt;background:#ECECEC;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:16.45pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Skills</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:15.9pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:15.9pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Python & Backend</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:15.9pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Python, FastAPI / Django, async programming</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:38.65pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:38.65pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Generative AI</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:38.65pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">LLMs (OpenAI, Anthropic, LLaMA, Gemini), LangChain, prompt engineering, RAG, vector databases (Pinecone, ChromaDB, FAISS), fine-tuning & model serving</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:27.3pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Agentic AI</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">LangGraph, CrewAI, AutoGen, OpenAI Assistants API, agentic patterns, MCP, memory, reasoning & self-correction</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:38.65pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:38.65pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Custom ML Models</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:38.65pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Scikit-learn, XGBoost, Prophet, statsmodels for demand forecasting, time-series analysis, classification & regression; model training, evaluation & deployment</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:27.3pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">SLMs (Small Language Models)</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Experience with Phi, Gemma, Mistral-small, TinyLLaMA or similar</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:27.3pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Cloud & AI Services</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">AWS (Bedrock, SageMaker) / GCP (Vertex AI) / Azure (Azure OpenAI); Docker, Kubernetes, serverless architectures</span></p><p></p> </td> </tr> <tr style="border-left:1px solid #000000;height:27.3pt;"> <td width="157" valign="top" style="width:117.85pt;border-top:none;border-left:solid #CDCDCD 1pt;border-bottom:solid #CDCDCD 1pt;border-right:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">AI Observability</span></p><p></p> </td> <td width="467" valign="top" style="width:350.55pt;border:solid #CDCDCD 1pt;border-top:none;padding:0.75pt 0.75pt 0.75pt 0.75pt;height:27.3pt;"> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">LLM evaluation (RAGAS, LangSmith), guardrails ( Guardrails AI), cost & token optimization</span></p><p></p> </td> </tr> </tbody></table> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Preferred skill sets:</span></b></p><p><b></b></p><b></b> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <ul style="margin-top:0in;" type="disc"> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">ReactJS</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">API Gateway, message brokers (Kafka, RabbitMQ)</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">CI/CD Pipelines</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Knowledge graphs (Neo4j)</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">MLOps / LLMOps practices</span><p></p></li> <li class="MsoNormal" style="color:#000000;margin-bottom:0in;line-height:normal;"><span style="font-size:10pt;font-family:Calibri, sans-serif;">Experience with edge deployment of SLMs</span><p></p></li> </ul> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><br /></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Years of experience required: </span></b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">10-15 Years</span></p><p></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">Education qualification: </span></b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;">B.Tech /MBA</span></p><p></p> <p class="MsoNormal" style="margin-bottom:0in;line-height:normal;"><b><span style="font-size:10pt;font-family:Calibri, sans-serif;color:#000000;"> </span></b></p> <p class="MsoNormal"><span style="font-size:10pt;line-height:115%;font-family:Calibri, sans-serif;"> </span></p>