IN_Senior Manager_Senior AWS AI/ML & Advanced Analytics Architect_One Cloud_Advisory_Mumbai (India)

Job Description & Summary : We are looking for an exceptional, innovation-driven Senior AWS AI/ML & Advanced Analytics Architect with expertise in Data, AI & Digital Transformation practice . This is a highly specialized and strategic leadership role designed for a practitioner-turned-leader who brings 15+ years of deep, hands-on experience in architecting and delivering transformative AI/ML, Generative AI, Agentic systems, IoT, and Advanced Analytics solutions on AWS at enterprise scale. Will be guiding clients through complex digital transformation journeys, building industry-leading solutions, and driving measurable, quantifiable ROI from cloud-native AI investments. Will advise C-suite executives, spearhead pre-sales pursuits, mentor high-performing teams, and shape the firm's AI & data go-to-market strategy on AWS. Job Position Title: IN_Senior Manager_Senior AWS AI/ML & Advanced Analytics Architect_One Cloud_Advisory_Mumbai (India) Responsibilities: AI/ML Architecture & Delivery Leadership Architect, design, and govern enterprise-scale AI/ML platforms on AWS covering the full ML lifecycle — data ingestion, feature engineering, model training, deployment, monitoring, and retraining. Lead hands-on delivery of production-grade ML solutions using Amazon SageMaker (Studio, Pipelines, Feature Store, Model Monitor, Canvas, JumpStart), Bedrock, Rekognition, Comprehend, Textract, Forecast, Personalize, and Fraud Detector. Define ML Ops frameworks including automated model versioning, CI/CD for ML, drift detection, and model governance for industries. Drive AI/ML ROI realization frameworks — baseline establishment, KPI definition, value tracking dashboards, and business case validation post go-live. Generative AI & Agentic Systems Lead the architecture and delivery of GenAI solutions using Amazon Bedrock, foundation models (Claude, Titan, Llama, Mistral, Stable Diffusion), RAG (Retrieval-Augmented Generation) pipelines, and prompt engineering frameworks. Design and implement Agentic AI architectures — multi-agent orchestration, tool-use agents, ReAct agents, autonomous workflow agents — using Amazon Bedrock, Agents, Leah, LangChain, AutoGen, and CrewAI frameworks on AWS infrastructure. Build enterprise-grade GenAI applications including intelligent document processing, AI-powered knowledge bases, conversational AI platforms, code generation assistants, and AI-driven decision support systems. Establish responsible AI governance frameworks — hallucination mitigation, guardrails, explainability, bias detection, and compliance-aware GenAI deployment using Amazon Bedrock Guardrails. Advise clients on GenAI operating models, build-vs-buy decisions, model selection criteria, and total cost of inference optimization. Advanced Data Analytics on AWS Cloud Architect modern data platforms and lakehouse architectures on AWS using S3, AWS Glue, Apache Iceberg/Delta Lake, Lake Formation, Athena, Redshift (Serverless & RA3), EMR, and AWS Glue DataBrew. Design and deliver real-time and batch analytics pipelines using Kinesis Data Streams, Kinesis Firehose, Apache Kafka (MSK), AWS Glue Streaming, and Apache Flink. Lead implementation of advanced analytics and BI layers using Amazon QuickSight (Q, embedded analytics), Grafana, and integration with third-party visualization platforms. Architect data mesh and data fabric frameworks aligned with organizational data governance and ownership models. Drive data democratization initiatives — self-service analytics, natural language querying (QuickSight Q), and data catalog adoption via AWS Glue Data Catalog and Apache Atlas. Multi-Source Data Ingestion & Integration Design enterprise data ingestion architectures supporting structured, semi-structured, and unstructured data from diverse sources including: On-premises databases (Oracle, SQL Server, SAP, Mainframe) SaaS platforms (Salesforce, SAP S/4HANA, ServiceNow, Workday) IoT devices and edge sensors Streaming sources (Kafka, Kinesis, MQTT brokers) Third-party APIs, web scraping pipelines, and data marketplaces Leverage AWS native and hybrid integration services — AWS DMS, Glue, AppFlow, DataSync, Transfer Family, EventBridge, and Step Functions. Define data quality, lineage, cataloging, and observability standards across all ingestion pipelines using tools like Great Expectations, AWS Glue Data Quality, and Monte Carlo. IoT Architecture & Edge Intelligence Architect and deliver end-to-end IoT solutions on AWS using AWS IoT Core, IoT Greengrass, IoT SiteWise, IoT TwinMaker, IoT Events, IoT Analytics, and IoT Device Management. Design edge-to-cloud intelligence pipelines — data capture at edge, local inference with SageMaker Edge Manager / Greengrass ML, and cloud aggregation. Lead industrial IoT (IIoT) engagements for manufacturing, energy, utilities, and smart infrastructure clients covering asset monitoring, predictive maintenance, OT/IT convergence, and SCADA integration Define IoT security architectures — device identity, certificate management, OTA updates, and zero-trust device connectivity. Digital Twins Architect and deliver advanced Digital Twin solutions using AWS IoT TwinMaker, integrating with 3D visualization tools (Grafana, Unity, Unreal Engine via AWS integrations), real-time sensor data, and historical analytics. Design multi-layer digital twin models — asset twins, process twins, system twins, and enterprise twins — aligned with client operational and strategic goals. Drive Digital Twin ROI realization through predictive maintenance use cases, operational simulation, energy optimization, and capacity planning. Build reusable Digital Twin accelerators and blueprints that reduce time-to-value for client engagements. Digital Roadmap Creation & Strategic Advisory Lead the creation of advanced, multi-horizon digital transformation roadmaps for enterprise clients, covering: Automation Roadmaps — RPA, intelligent automation, AI-augmented workflows, hyperautomation on AWS Data Strategy Roadmaps — data platform maturity, governance, monetization, and AI-readiness Security Roadmaps — zero-trust architecture, data sovereignty, compliance automation (SOC2, GDPR, HIPAA, PCI-DSS) on AWS. AI/GenAI Adoption Roadmaps — use case prioritization, POC-to-production pathways, CoE establishment Conduct maturity assessments (data maturity, AI readiness, digital IQ) and translate findings into actionable, business-outcome-aligned roadmaps with prioritized initiatives, investment forecasts, and ROI projections. Facilitate executive alignment workshops, architecture review boards, and digital strategy offsites wit CXO stakeholders. ROI Realization & Value Engineering Build and own business case frameworks for AI/ML and analytics investments — quantifying productivity gains, cost avoidance, revenue uplift, and risk reduction. Lead POC-to-scale journeys with clear gate criteria, success metrics, and value confirmation at each stage. Develop ROI realization dashboards and client-facing value tracking mechanisms post-deployment. Present quarterly business reviews (QBRs) to senior client stakeholders highlighting value delivered vs. committed. Client Advisory & CXO Engagement Serve as the trusted AI & Data advisor to CDOs, CDAOs, CTOs, and CIOs of Fortune 500 and large enterprise clients. Lead thought leadership engagements — white papers, point-of-view documents, speaking at industry events. Manage senior client relationships, navigate complex stakeholder dynamics, and ensure client satisfaction and account growth. Team Leadership & Capability Building Build, lead, and inspire a team of AI/ML engineers, data architects, data scientists, and analytics consultants. Establish and lead an internal AI & GenAI Community of Practice (CoP) to foster innovation, knowledge sharing, and accelerator development. Drive a culture of responsible, ethical AI within the team and across client engagements. Champion upskilling and certification pathways for team members across AWS AI/ML and data services. Pre-Sales & Business Development Own the technical solutioning and estimation for AI/ML, GenAI, and analytics pursuits from discovery to proposal defense. Co-develop go-to-market offerings with AWS (Bedrock enterprise offers, SageMaker accelerators, AWS Data & Analytics competency solutions). Contribute to revenue targets, account expansion, and new logo acquisition within the AI & Data practice. Build relationships with AWS service teams (AI/ML, Analytics, IoT PDMs/PSAs) to access early feature access, co-sell opportunities, and co-innovation programs. Mandatory skill sets: Experience 15+ years of overall technology experience with a minimum of 10+ years in AWS cloud-based AI/ML, analytics, and data architecture . Hands-on delivery experience in production AI/ML, GenAI, and analytics projects with documented ROI realization — not just advisory or oversight roles. Proven track record leading large, complex digital transformation engagements in a Big 4, global SI, or top-tier product/consulting company. Demonstrable experience delivering projects across at least 4–5 of the following domains: ✅ Domain ✅ Domain Enterprise AI/ML platforms on AWS Generative AI & LLM applications Agentic AI systems & orchestration IoT & Industrial IoT (IIoT) Digital Twins (AWS IoT TwinMaker) Advanced data lakehouse architecture Real-time streaming analytics Multi-source data ingestion pipelines Digital transformation roadmapping FinOps for AI/data workloads Responsible AI & governance frameworks Data mesh / data fabric design Preferred Skill Sets: 15+ years of overall technology experience with a minimum of 10+ years in AWS cloud-based AI/ML, analytics, and data architecture . Hands-on delivery experience in production AI/ML, GenAI, and analytics projects with documented ROI realization — not just advisory or oversight roles. Proven track record leading large, complex digital transformation engagements in a Big 4, global SI, or top-tier product/consulting company. Years of experience Required: 15+ years Education Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering , or a related field.