Deployment Practitioner

8103 Acc Sol Pvt Ltd Company; Bengaluru; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

Accenture is seeking a senior Deployment Practitioner in Bengaluru to drive GenAI/Agentic AI programs, shaping AI strategy, business cases, and transformation roadmaps. You will lead end-to-end delivery across architecture, development, integration, and production operations, partnering with executives to scale solutions enterprise-wide.

The role requires 16–25 years of experience, deep GenAI expertise, and strong governance, with a focus on value realization and ROI across geographies.

Qualifications

• Senior technology and transformation leader with 16–25 years of experience.
• Experience shaping GenAI/Agentic AI programs from opportunity identification to value realization.
• Partner with executive stakeholders to define AI strategy and prioritize use cases.

Responsibilities

• Identify GenAI/Agentic AI opportunities through business process analysis.
• Shape AI strategies, business cases, and transformation roadmaps.
• Lead end-to-end delivery of AI transformation programs across architecture and deployment.
• Own program governance, budgets, risks, and executive communications.
• Drive adoption and measurable ROI across functions and geographies.

Skills

Generative AI

GenAI/Agentic AI

Enterprise app development

System integration

Cloud architecture

SDLC

AI governance

Education

15 years full time education

Tools

Amazon Bedrock

OpenAI

Azure OpenAI

LangChain

LangGraph

Job description

Project Role : Deployment Practitioner Project Role Description : Assist the Deployment Lead in all deployment-related tasks including work planning, scheduling, budgeting, metrics, training, pilots and resources. Must have skills : Generative AI Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a senior technology and transformation leader with 16–25 years of experience to shape and lead enterprise GenAI/Agentic AI programs from opportunity identification and business case through solutioning, delivery, adoption and value realization. The role will partner with executive stakeholders to define AI strategy, prioritize high-value use cases, lead large multidisciplinary teams, manage program outcomes and scale successful solutions across the enterprise.

Roles & Responsibilities:

1. Identify and prioritize GenAI/Agentic AI opportunities through business process and value-stream analysis, evaluating business value, feasibility, investment, risk and expected ROI.
2. Shape AI and technology strategies, business cases, transformation roadmaps and solution approaches aligned to enterprise and business objectives.
3. Lead end-to-end delivery of complex AI transformation programs across solutioning, architecture, application development, system integration, testing, deployment, adoption and production operations.
4. Own program governance, financials, resources, risks, dependencies, delivery outcomes and executive stakeholder communication across multiple workstreams.
5. Drive adoption, benefits realization, reuse and scale of successful AI solutions across business functions, geographies and programs.

Professional & Technical Skills

1. Strong understanding of enterprise application development, system integration, APIs, microservices, cloud architecture, SDLC, modernization and enterprise technology landscapes.
2. Strong understanding of GenAI/LLM and Agentic AI, including AI agents, single/multi-agent architectures, orchestration, prompt engineering, tool/function calling, RAG, embeddings, vector databases and knowledge retrieval.
3. Ability to evaluate GenAI, Agentic AI, automation, traditional software or hybrid approaches and guide solution architecture and technology selection.
4. Strong understanding of Responsible AI, AI security, privacy, guardrails, evaluation, enterprise governance, scalability, performance and operational readiness.

Additional Information

1. Experience with enterprise AI platforms such as Amazon Bedrock, OpenAI, Anthropic or Azure OpenAI and frameworks such as LangChain, LangGraph, AutoGen, CrewAI or equivalent is preferred.
2. Strong experience in program financial management, commercial models, proposals/RFPs/RFIs, account growth, executive presentations and client advisory is desirable.
3. Proven ability to lead large multidisciplinary teams, mentor Managers/Technical Leads/Architects, establish reusable AI capabilities and drive measurable outcomes such as productivity, cost savings, cycle-time reduction, quality improvement and revenue impact.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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