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Accenture

Advises businesses and runs their technology

Technical Architect & Delivery Lead

Engineering LeadershipPosted on Nov 12
Full-timeColumbus, OH, USA

About the Job

Requirements

  • A minimum of 12 years of experience in software engineering, with significant architecture ownership and a track record of influencing technical decisions across multiple teams and senior stakeholders.
  • A minimum of 5 years designing enterprise-scale software or platform solutions as a Technical Architect or in an equivalent role, with a strong understanding of modern architecture patterns, including micro-frontends, microservices, event-driven architecture, API-first architecture, and domain-driven design.
  • A minimum of 5 years leading Agile delivery for multi-team programs, with demonstrated ownership of delivery outcomes, roadmaps, and stakeholder communication.
  • One or two leadership roles involving AI projects in the last two years, in a Delivery Lead capacity.
  • A bachelor's degree or equivalent (minimum 12 years) work experience. If the candidate has an associate degree, a minimum of 6 years of work experience is required.

Responsibilities

  • Set and own the architecture vision, roadmap, and technical strategy for enterprise software platforms, shared services, and applications across multiple portfolios or product lines.
  • Define target-state and transition architectures, including system decomposition, integration patterns, and data flows.
  • Lead build, buy, and reuse decisions, and articulate trade-offs, risks, costs, and dependencies to senior leadership.
  • Establish and enforce architecture standards and governance, including security, scalability, performance, resilience, and operability; chair architecture review boards and design authorities.
  • Advise business and technology executives, translating business objectives into pragmatic, outcome-driven solutions.
  • Facilitate architecture workshops, design reviews, and technical discussions to drive alignment and decision-making across teams.
  • Evaluate emerging technologies, including generative and agentic artificial intelligence, and shape adoption strategy with responsible AI considerations.
  • Serve as delivery lead for programs and platforms, accountable for scope, schedule, quality, and outcomes across multiple Agile teams.
  • Partner with Product Owners, Scrum Masters, and engineering leads to shape roadmaps, prioritize backlogs, and plan releases and program increments using SAFe or scaled Agile.
  • Track and report delivery health using velocity, predictability, cycle time, defect trends, and DORA metrics; escalate and resolve risks, blockers, and cross-team dependencies early.
  • Manage delivery budgets, capacity, and resource planning in partnership with finance and account teams.
  • Partner with engineering, DevOps, quality assurance, and operations to ensure solutions are implementable, production-ready, and continuously improved.
  • Foster a culture of continuous delivery, automation, and shared ownership of quality.
  • Lead, coach, and develop senior engineers, architects, and delivery managers; build succession and a strong talent pipeline.
  • Promote consistency, best practices, and engineering excellence across teams.
  • Manage client relationships at portfolio level.
  • Communicate progress, risks, and decisions clearly to executive stakeholders.

Desired Qualifications

  • Experience building or leading platform-grade capabilities, such as API platforms, integration layers, workflow or automation platforms, and shared services.
  • Strong experience with cloud-native architectures, managed cloud services, and containers such as Docker, Kubernetes, and Helm.
  • Expertise in API and integration patterns, including REST, gRPC, GraphQL, API gateways, and OAuth2/JWT.
  • Experience with DevOps and platform engineering practices, including CI/CD, Infrastructure as Code, and automated deployments.
  • Familiarity with event-driven architectures, observability, monitoring, and operational readiness.
  • Understanding of generative and agentic AI concepts, including large language models, embeddings, prompt engineering, and responsible AI.
  • Experience with generative AI tools and platforms, such as enterprise copilots, large language model APIs, vector databases, and retrieval-augmented generation architectures.

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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