2 months ago
Pune, India +3 moreStaff+
Responsibilities
- Lead client conversations and internal engineering discussions for complex automation requirements and reusable accelerators.
- Architect multi-agent orchestration frameworks, RAG pipelines, and LLM-integrated automation workflows.
- Design, develop, and architect RPA, AI, generative AI, and agentic AI solutions integrated with enterprise, ITSM, CRM, ERP, and cloud platforms.
- Provide technical solutions for client proofs of concept and manage automation initiatives responding to RFPs, RFIs, and delivery optimization needs.
- Plan pursuits, gather requirements, coordinate technical teams, and govern delivery against approved architecture baselines.
- Support client deployments, automation pipeline testing, and product enhancements.
Requirements
- At least 7 years of IT industry experience in technology consulting, application services, system integration, outsourcing, cloud advisory, or related engagements.
- At least 2 years of experience leading teams as a technical lead or solution architect on AI-led automation programs.
- Experience delivering or architecting AI, generative AI, and agentic AI automation solutions across application maintenance, application development, system integration, or transformation engagements.
- Ability to architect multi-agent orchestration, RAG pipelines, and LLM-integrated automation workflows using modern architecture principles.
- Experience with Anthropic Claude, OpenAI, Google Gemini, RPA and AI platforms, enterprise systems, and AWS, Azure, or GCP.
- Understanding of integration architectures, observability/AIOps architectures, and data/RAG architectures, including Dynatrace, Datadog, or ServiceNow.
- Industry exposure in financial services, retail and CPG, life sciences, aerospace/manufacturing, or managed services/AMS.
- Experience shaping or responding to RFP and RFI pursuits, including techno-functional and commercial solution aspects, is preferred.
- Cloud certification, prompt engineering, AI/ML technical certification, industry subject-matter expertise, or generative AI platform certification is preferred.
- Engineering bachelor's degree, master's degree, or diploma in management; ITIL, PMP, TOGAF, or generative AI certifications are preferable.
- Strong client communication, relationship-building, structured problem-solving, and business-technology alignment skills.
Tech Stack
Categories
Solutions Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.