AI LLM Technology Architecture Senior Manager (All Genders)

YOU ARE

As a Lead or Principal AI Architect you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete end-to-end architecture of advanced AI platforms and solutions spanning classical machine learning generative AI and agentic systems ensuring every domain of the architecture is cohesively designed technically sound and purposefully aligned to client business objectives and enterprise-grade standards.

A defining dimension of this role is your ability to operate at the executive level working closely with CIOs CTOs and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals priorities and transformation agendas to a coherent technical vision ensuring AI investments are purposeful sequenced and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect.

In this role you will lead and integrate the work of multiple domain architects and subject matter specialists across areas such as agentic application design AI security and trust AI operations and observability data and knowledge engineering and model platforms and inference providing the architectural vision technical governance and cross-domain coherence that binds their contributions into a unified enterprise-ready system. You will set the architectural direction resolve cross-domain tensions and make the critical design decisions that shape the entire AI solution.

Beyond client delivery you will be recognized as a thought leader and leading authority in AI staying at the forefront of the latest research emerging standards industry innovations and evolving technology landscapes. You will actively shape the practices AI architecture point of view contribute to internal knowledge frameworks and reusable assets and represent the firm externally through publications conference engagements and client advisory conversations. Your perspective on where AI is heading will be sought by clients practice leadership and peers alike.

You will evaluate and make definitive decisions on design patterns technical frameworks reference architectures and technology selections balancing innovation with pragmatism to deliver systems that are robust scalable and built to last. This includes providing architectural oversight across AI agent ecosystems encompassing multi-agent orchestration tool use skills use and memory systems as well as foundation model integration fine-tuning strategies and classical ML model deployment within cohesive production-ready platforms.

You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security observability governance performance and scalability and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale including architecture decision records (ADRs) reference architectures component and data flow diagrams and integration specifications and provide the executive-level technical leadership that gives cross-functional engineering teams domain architects and client stakeholders the clarity and confidence to execute.

Your work will be instrumental in defining how the most ambitious clients adopt scale and lead with AI setting a standard for what advanced AI architecture can and should look like and delivering transformational lasting business value.

At Accenture you shape the environment in which you thrive with ways of working that suit you. You stay flexible and become part of a team full of unique individuals who make a difference together. Local Word

• Partner with CIOs CTOs and business leaders to shape the enterprise AI strategy connecting business goals to a coherent sequenced technical vision
• Lead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantage
• Own the complete end-to-end technical solution for complex AI platforms ensuring every domain is cohesively designed and aligned to business objectives and enterprise standards
• Translate the governing architecture principles into a concrete defensible technical solution that domain teams build against
• Build innovative prototypes and proofs of concept hands-on using emerging technologies to de-risk decisions and prove value early
• Perform technology assessments and comparisons making definitive evidence-based recommendations on tools frameworks and platforms
• Set the architectural direction for model- and tool-agnostic multi-agent ecosystems orchestration memory and tool/skill use governed through a registry-bound AI Gateway
• Establish the agent registry and certification model that mandates no uncertified agent reaches production
• Define memory as a first-class abstracted platform service decoupled from any underlying vendor engine
• Define the foundation model and inference strategy adaptation fine-tuning and dynamic cost/quality/latency-aware routing
• Set the standards for high-throughput low-latency inferencing and classical ML deployment within unified production-ready platforms
• Own the architecture of the enterprise context layer knowledge graphs ontologies vector search and semantic retrieval grounding the solution in client knowledge
• Set the design direction for context assembly and memory that manages prompts context windows and conversational state across the platform
• Be accountable for security governance observability performance and scalability addressed holistically and consistently across every domain
• Establish the identity and authorization model per-agent identity IAM/IAP binding and defense-in-depth enforcement
• Define the layered guardrail framework applied at every boundary balancing protection with performance
• Govern the MCP control plane registry gateway and risk scoring across all internal and third-party servers
• Mandate adopt-over-build for productized evaluation and observability stacks
• Establish FinOps as a first-class concern usage labelling gateway-enforced budgets and cost-per-archetype as a planning input
• Make the definitive decisions on design patterns reference architectures frameworks and technology selections balancing innovation with pragmatism
• Lead and integrate the work of domain architects and specialists resolving cross-domain tensions into a unified enterprise-ready system
• Build the practices reusable reference architectures frameworks and assets with a deliberate adopt-over-build stance
• Conduct deep-dive architecture workshops and working sessions with client executives and engineering teams
• Produce and govern the authoritative architecture artifacts blueprints reference architectures ADRs and integration specifications that guide delivery at scale
• Serve as a recognized thought leader in AI shaping the practices point of view and representing the firm externally through publications and conference engagements

Education

• Bachelors Degree or equivalent

Basic (Required) Qualification

• Significant experience in designing & deploying enterprise grade advanced ai solutions using agentic generative and classical AI/ML using at least one cloud vendor.
• Working experience in the LLM and Generative AI space.
• Experience architecting and operationalizing LLM driven application architecture patterns.
• Considerable experience in engineering machine learning deep learning and NLP solutions and applications.
• Professional experience as a machine architect in the industry designing big data machine learning. large scale analytical engineering solutions.

• Flexible working models including home office and hybrid work
• Continuous learning certifications and advanced AI training opportunities
• Access to innovative AI cloud and emerging technology ecosystems

Your unique combination of skills personality and aspirations sets you apart. When distinct talents strengths and perspectives merge the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives. How you wish to connect further your development and personally evolve rests in your hands. This is your career. We are mere facilitators helping you shape it exactly as you envision.

Any questions left Feel free to contact our recruiting team via email at . We look forward to your application.

About Accenture

Accenture is a leading global professional services company that helps the worlds leading businesses governments and other organizations build their digital core optimize their operations accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791000 people serving clients in more than 120 countries. Technology is at the core of change today and we are one of the worlds 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.

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