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Accenture

Advises businesses and runs their technology

IMS Solution Architecture Manager

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience in the IT industry, including extensive experience delivering or architecting AI, generative AI, and agentic AI automation solutions across application maintenance, application development, system integration, or transformation engagements.
  • At least 2 years of experience leading teams as a technical lead or solution architect on AI-led automation programmes.
  • Ability to understand and architect multi-agent orchestration frameworks, retrieval-augmented generation (RAG) pipelines, and large language model (LLM)-integrated automation workflows using modern architecture principles.
  • Ability to design, develop, and architect automation solutions using robotic process automation (RPA), AI, generative AI, and agentic AI platforms, including Anthropic Claude, OpenAI, and Google Gemini, integrated with enterprise systems such as ERP, ITSM, CRM, and cloud platforms such as AWS, Azure, and GCP, using delivery methods such as Agile and DevOps.
  • Industry domain exposure in Financial Services, Retail and CPG, Life Sciences, Aerospace/Manufacturing, or Managed Services/AMS.
  • Understanding of integration architectures, observability/AIOps architectures using Dynatrace, Datadog, or ServiceNow, and data/RAG architectures.
  • 7–12 years of IT industry experience in technology consulting, application services, system integration, outsourcing, or cloud advisory services.
  • Engineering Bachelor's degree from a Tier 1 or Tier 2 institute, Master's degree, or Diploma in Management.
  • Strong interpersonal and communication skills, ability to articulate ideas and influence and build relationships with clients and key stakeholders, and a structured, issue-based problem-solving approach.
  • Ability to understand client business and technology drivers, including business-IT alignment, AI/automation operating models, and sourcing model dimensions.

Responsibilities

  • Lead client conversations and internal engineering discussions to solution complex automation requirements and develop reusable assets and accelerators.
  • Provide technical solutions for client proofs of concept; plan pursuits, gather requirements, and execute and manage generative AI/agentic AI automation solutions in response to client requests, RFPs, or delivery optimization initiatives.
  • Coordinate and work with technical teams on client deployments, automation pipeline testing, and product enhancements; govern delivery against approved architecture baselines.

Desired Qualifications

  • Experience in solution architecture for shaping or responding to RFP and RFI pursuits, including techno-functional and commercial aspects of solutions.
  • Cloud certification in AWS, Azure, or GCP.
  • Prompt engineering, AI/ML technical certifications, industry subject matter expertise, or generative AI platform certifications.
  • ITIL, PMP, TOGAF, or generative AI certifications.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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