Agile Program & Enterprise Architecture Leader

Location:

Pune, Maharashtra, India

Posted:

October 25, 2026

Contact this candidate

Resume:

CSM, Prince*, CSPO, SAFe Agilest, Black Belt.

Mobile No: +919*********

Email: **********@**********.***

IT professional with 16+ years with strong knowledge of technological trends to build strategy, understanding of budgets and business-planning, ability to conduct technological analyses and research, excellent communication skills and leadership and organizational abilities. 1. BU: Capgemini – Payroll company

Role: Senior Manager

Duration: Oct 22 – Till date

Responsibilities :

• Project Management, Project Planning, Budgeting(Allocation vs actual), Prioritization, Feature release, GTM, Risk vs issues, MS Projects, JIRA, Confluence, Rally, SDLC, Sprint planning, Retrospective, demo, DSU, Weekly/Monthly Report, Dashboards.

• Designed and implemented reusable architectural patterns, frameworks, and reference architectures, enabling standardized development and seamless integration across microservices and enterprise applications.

• Led end-to-end platform architecture, collaborating with product, infrastructure, and security teams to ensure alignment with business objectives, compliance standards, and security best practices.

• Championed DevSecOps adoption by designing and optimizing CI/CD pipelines, integrating automated security scanning, code quality gates, and compliance checks within the software delivery lifecycle.

• Architected and managed integrations with enterprise tools and platforms, including Artifactory (artifact management), Atlassian suite (Jira, Confluence, Bitbucket), and API management platforms such as MuleSoft and Apigee.

• Implemented Infrastructure as Code (IaC) and automation strategies to enable self-service platform capabilities, reducing manual intervention and accelerating developer productivity.

• Represented architecture decisions in enterprise governance forums, contributing to technology standards, roadmap planning, and cross-domain architectural alignment. James Salve

CAREER OBJECTIVE

PROFESSIONAL EXPERIENCE

• Experience in software engineering with deep specialization in architecture and platform engineering.

• Strong expertise in Java, object-oriented design, design patterns, and building scalable backend systems.

• Extensive experience with microservices architecture, RESTful APIs, distributed systems, and event-driven architectures.

• Advanced knowledge of SDLC, Agile/Scrum methodologies, and engineering best practices.

Proven expertise in CI/CD pipelines with GitHub Actions, Jenkins, GitLab CI/CD

•, DevOps tooling, and automation (e.g., Jenkins, Docker, Kubernetes).

• Strong hands-on experience with AWS (EC2, S3, Lambda, RDS, EKS) and exposure to multi- cloud architectures.

• AI/ML experience in delivering enterprise-scale analytics and GenAI programs. Experiance in LLMs, RAG frameworks, agentic AI, and end-to-end AI product delivery. Strong background in cloud platforms (AWS, Azure, GCP) and scalable MLOps/LLMOps practices.

• Python, Large Language Models (LLMs), Prompt Engineering, Embeddings

• Vector Databases, RAG, LangChain or LlamaIndex,AI Agents,

• Embedding models : OpenAI embedding models, Sentence Transformers (SBERT), BGE (BAAI General Embedding), E5 embedding models, Jina Embeddings, Cohere Embed models

• Generative LLMs: GPT series, Claude, Gemini,Llama,Mistral, DeepSeek

• Fine-tuning, MLOps and model deployment

• Version Control: Git, DVC

• Experiment Tracking: MLflow, Weights & Biases

• Data Pipelines: Apache Airflow, Kubeflow Pipelines

• Deployment: FastAPI, Flask, TensorFlow Serving, TorchServe

• Containers: Docker

• Orchestration: Kubernetes

• Cloud ML: Amazon SageMaker, Google Vertex AI, Azure Machine Learning

• Monitoring: Evidently AI, Prometheus, Grafana

• Cloud platforms (AWS, Azure, Google Cloud)

• AI ethics and responsible AI

• Proven ability to lead cross-functional teams and align AI solutions with business outcomes. Skilled in stakeholder management, governance, and driving innovation in agile environments.

• Hands-on in Big Data technologies - Hadoop, Sqoop, Hive and Spark including DevOps.

• With deep technology understanding in Hive, HDFS, Spark, Kafka, Java, or Scala, Python, Pyspark etc.

• Deployed end-to-end Agentic RAG chatbot architectures using planner-executor patterns, memory, tools, and hybrid retrieval (vector + knowledge graph).

• Deployed multi-agent product discovery and search systems using specialized agents with orchestration frameworks and shared state.

• Deployed AI over BI systems converting natural language queries into structured insights using semantic parsing and hybrid data retrieval.

• Deployed text-to-code and database interaction systems with secure execution, schema- aware prompting, and validation layers.

• Deployed advanced RAG architectures including Graph RAG and hybrid retrieval using vector databases and structured data sources.

• Deployed LLMOps frameworks covering model lifecycle management, prompt versioning, CI/CD, and experiment tracking.

• Deployed evaluation frameworks using RAGAS, DeepEval, and custom pipelines for accuracy, grounding, latency, and cost metrics.

• Deployed AI guardrails including hallucination detection, safety filters, output validation, and policy enforcement mechanisms.

• Deployed scalable AI solutions on AWS using Bedrock, Lambda, S3, OpenSearch, and streaming pipelines for real-time inference.

• Deployed event-driven, API-first microservices architectures with IoT data integration, observability, and cost optimization (FinOps for AI).

• Expertise in design and management of complex data structures and data processes like ETL/ELT.

• Knowledge of Teradata.

• Designing and building new Cloud Data platform and its optimization at organization level.

• Strong past on designing AWS data lake and surrounding ecosystem development.

• AWS services like RDS, DynamoDB, Redshift

• solution architectures and reference architectures with a focus on cloud technologies. Proficient in Unix/Linux eco system.

• Worked with Docker containerisation or similar.

• Did setup of Container orchestration.

• Account Management, Account Growth/Mining

• Product Strategy & vision

• Monitoring the development & QA teams

• Agile Product Implementation

• Go-to-Market strategy

• Visualize and Conceptualize ideas/ features.

• Driving various teams to success.

• Application Service Delivery Ownership

• Own service delivery for enterprise applications (ERP, Finance, HR, CRM, BI, SaaS, and custom applications).

• Ensure applications meet a, greed SLAs, OLAs, and business KPIs.

• Act as the single point of accountability for application service performance.

• Coordinate L2/L3 application support teams and AMS vendors.

• ServiceNow-Based ITSM Governance

• Govern application support processes using ServiceNow ITSM, including:

• Incident ManagementProblem Management

• Skills

•

2. BU: Service Management

Role: Senior Manager

Duration: Mar 2017 – 30th Sep 2022

Responsibilities

• Led IT teams for project delivery - Compute, Storage and leading strategic initiatives - IaaS

(Infra as a Service), Platform as a Service (PaaS), AI/ML and DevOps

• With Support of all teams, able to successfully deliver project to scale the model for NSX-T, vRealize Network Insight, NSX Advanced Load Balancer, VMC on AWS & NSX Security design

& implementation, NSX-V to NSX-T migration, Firewall rules implementation, AD,DNS, DHCP

• Co-oridinate with Data Engineers and help drive multiple Customer Engagement with hands- on experience on Java, Kafka, ETL, ADF, Data Lake, Databricks executed on SQL Migrations, Azure Synapse Implementation, Azure Purview Capacity Planning Data Analysis

• Proven experience in service organization, having delivered complex large scale infrastructure projects. (Including DevOps, UNIX/AIX/WINDOWS, Network, Middleware, Database, Application hosting platforms, Storage, and Data Centre etc.) •

• Responsible for developing, managing, and reporting on scope, schedule, and budget in relation to the Integration scope and packages.

• Work independently in support of PM’s.

• Track lessons learned and identify and execute on cost down site up opportunities.

• Vendor Management and contract compliance.

• Provide Vendor oversight and performance management, as required.

• Support Preparation of Request for Proposal (RFP’s),SOW, and other project approval tools & templates.

• Review and approval of vendor scope of work and design review of site and building plans, as required.

• Architectures, enabling standardized development and seamless integration across microservices and enterprise applications.

• Led the adoption of DevSecOps practices by building and optimizing CI/CD pipelines with integrated security scanning, automated testing, and compliance enforcement.

• Architected and managed integrations with enterprise platforms including Artifactory, Atlassian suite (Jira, Confluence, Bitbucket), and API management solutions such as MuleSoft and Apigee.

• Implemented Infrastructure as Code (IaC) and automation frameworks to enable self-service developer platforms, improving efficiency and reducing operational overhead.

• Ensured platform reliability through robust monitoring, logging, alerting, and incident management processes, including active participation in on-call support.

• Represented architectural decisions in enterprise governance forums, contributing to standards, best practices, and long-term technology strategy.

• Mentored engineering teams on microservices architecture, system design, and performance optimization, driving engineering excellence across distributed teams. PROFESSIONAL EXPERIENCE – Vodafone

• Facilitated collaboration across global teams, ensuring consistency in architecture and delivery across regions.

• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.

• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.

• Advanced knowledge of SDLC, Agile/Scrum methodologies, and modern engineering practices.

• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.

• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.

• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.

• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.

• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.

• Project Management, Project Planning, Budgeting(Allocation vs actual), Prioritization, Feature release, Risk vs issues, MS Projects, JIRA, Confluence, Rally, SDLC, Sprint planning, Retrospective, demo, DSU, Weekly/Monthly Report, Dashboards.

• Proven experience with CI/CD pipelines and DevOps tools such as Jenkins, Docker, and Kubernetes.

• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, EKS) including deployment, scaling, and monitoring of cloud-native applications.

• Experience with Snowflake and cloud-based data platforms, including data integration and analytics workflows.

• Proficient in testing and performance tools including JUnit, Selenium, and JMeter.

• Strong expertise in observability, including monitoring, logging, tracing, and system performance tuning.

• Excellent communication, leadership, and stakeholder management skills.

• Tools: Servicenow, Jira, Confluance MSP, Remedy, Clarity, Excel, Powerpoint.

•

3. BU: Sungurd

Role: Senior Consultant

Duration: Aug 2016 – Feb 2017

Responsibilities

• Primary responsibility included creating orchestrating migration/deployment activities that involved preparing project plan and schedules, resource estimates, status updates, project communication and ensuring project completion within agreed time frame. Providing weekly status report to stakeholders.

• Strong expertise in Java, object-oriented programming, and design patterns for building scalable backend systems.

• Extensive experience in microservices architecture, RESTful APIs, distributed systems, and event-driven design.

PROFESSIONAL EXPERIENCE – Sungurd