The Role
Lead teams in identifying and delivering GenAI, Agentic AI, automation, application, and integration solutions. Responsibilities include analyzing business processes, designing scalable AI architectures, coordinating SDLC delivery, managing scope, budgets, risks, resources, and dependencies, partnering with stakeholders, tracking ROI, leading proofs of concept, and mentoring technical teams. The role requires expertise in software engineering, system integration, LLMs, agentic workflows, enterprise architecture, responsible AI, and AI governance.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Generative AI
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a technology leader with 12–16 years of experience across application development, system integration, GenAI/Agentic AI and technology delivery. The role will lead teams and workstreams across the SDLC, identify high-value AI and automation opportunities, translate business problems into technology solutions, and drive measurable business outcomes and ROI.
Roles & Responsibilities:
1. Analyze business processes and value streams to identify opportunities for GenAI, Agentic AI, automation, modernization and process transformation.
2. Lead the design and delivery of application, integration, GenAI and Agentic AI solutions, ensuring effective integration with enterprise applications, APIs, databases and external systems.
3. Own delivery across scope, schedule, resources, budget, dependencies, risks, quality and milestones while coordinating multiple technical teams.
4. Partner with business, product, architecture and technology stakeholders to prioritize use cases, demonstrate solutions, track outcomes and drive adoption and reuse.
Professional & Technical Skills
1. Strong understanding of application development, SDLC, system integration, APIs, microservices, databases, cloud applications, OOP and software engineering practices practical experience with Python and another OOP language is preferred.
2. Strong understanding of GenAI/LLM and Agentic AI, including prompt engineering, agents, agentic workflows, orchestration, tool/function calling, RAG, embeddings, vector databases, semantic search and knowledge retrieval.
3. Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent, and enterprise integration patterns.
4. Strong understanding of solution architecture, scalability, security, maintainability, Responsible AI, AI governance and the ability to select GenAI, Agentic AI, automation, traditional software or hybrid approaches.
Additional Information:
1. Experience managing Agile delivery, project budgets, resources, risks, dependencies and multiple workstreams is required.
2. Ability to define and track business outcomes and ROI metrics such as productivity improvement, effort savings, cycle-time reduction, quality improvement and cost savings.
3. Experience leading PoCs, executive demonstrations, technical hiring, mentoring and capability development is desirable.
15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Generative AI
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a technology leader with 12–16 years of experience across application development, system integration, GenAI/Agentic AI and technology delivery. The role will lead teams and workstreams across the SDLC, identify high-value AI and automation opportunities, translate business problems into technology solutions, and drive measurable business outcomes and ROI.
Roles & Responsibilities:
1. Analyze business processes and value streams to identify opportunities for GenAI, Agentic AI, automation, modernization and process transformation.
2. Lead the design and delivery of application, integration, GenAI and Agentic AI solutions, ensuring effective integration with enterprise applications, APIs, databases and external systems.
3. Own delivery across scope, schedule, resources, budget, dependencies, risks, quality and milestones while coordinating multiple technical teams.
4. Partner with business, product, architecture and technology stakeholders to prioritize use cases, demonstrate solutions, track outcomes and drive adoption and reuse.
Professional & Technical Skills
1. Strong understanding of application development, SDLC, system integration, APIs, microservices, databases, cloud applications, OOP and software engineering practices practical experience with Python and another OOP language is preferred.
2. Strong understanding of GenAI/LLM and Agentic AI, including prompt engineering, agents, agentic workflows, orchestration, tool/function calling, RAG, embeddings, vector databases, semantic search and knowledge retrieval.
3. Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent, and enterprise integration patterns.
4. Strong understanding of solution architecture, scalability, security, maintainability, Responsible AI, AI governance and the ability to select GenAI, Agentic AI, automation, traditional software or hybrid approaches.
Additional Information:
1. Experience managing Agile delivery, project budgets, resources, risks, dependencies and multiple workstreams is required.
2. Ability to define and track business outcomes and ROI metrics such as productivity improvement, effort savings, cycle-time reduction, quality improvement and cost savings.
3. Experience leading PoCs, executive demonstrations, technical hiring, mentoring and capability development is desirable.
15 years full time education
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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Generative AI experience
- At least 12 years of professional experience
- 15 years of full-time education
- Strong understanding of application development, SDLC, system integration, APIs, microservices, databases, cloud applications, object-oriented programming, and software engineering practices
- Practical experience with Python and another object-oriented programming language
- Strong understanding of GenAI, LLMs, Agentic AI, prompt engineering, agents, agentic workflows, orchestration, tool or function calling, RAG, embeddings, vector databases, semantic search, and knowledge retrieval
- Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents, or equivalent
- Strong understanding of solution architecture, scalability, security, maintainability, Responsible AI, and AI governance
- Experience managing Agile delivery, project budgets, resources, risks, dependencies, and multiple workstreams
- Ability to define and track business outcomes and ROI metrics
- Experience leading proofs of concept, executive demonstrations, technical hiring, mentoring, and capability development
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
