Accenture

IMS Solution Architecture Associate Manager

Accenture
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7 days ago
Pune, India +3 moreStaff+
H1B Sponsor

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.

Categories

Solutions Engineering
Accenture

About Accenture

10,000+ employees

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.

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