A

Accenture

Advises businesses and runs their technology

Technology Architect

Full-TimeUpdated on 10/23/2026
No salary listed
Expert
Mumbai, Maharashtra, India
In PersonBased at the Mumbai office.
Software EngineeringAI Application Engineering

About the job

Requirements
  • At least 18 years of SAP Generative AI experience.
  • At least 10 years of SAP implementation, architecture, or SAP delivery experience.
  • Strong experience with SAP S/4HANA and enterprise SAP implementations.
  • Experience across multiple SAP functional and technical domains.
  • Strong understanding of SAP implementation methodologies and delivery processes.
  • Experience with SAP BTP, APIs, integration, and SAP extensions.
  • Experience building and leading AI/Generative AI platform teams that provide reusable AI capabilities, frameworks, agents, APIs, and services to application implementation and support teams.
  • Experience defining the team structure, roles, skills, engineering practices, governance, operating model, and delivery processes needed to establish and scale an enterprise AI capability.
  • Experience building AI/Agentic AI platforms and reusable components for multiple SAP implementation and Application Maintenance & Support engagements, rather than isolated AI solutions or proofs of concept.
  • Ability to move AI use cases from concept or proof of concept into production application support, integrating AI with IT service management, SAP monitoring, knowledge repositories, and enterprise systems to improve mean time to resolution, automation, support productivity, and cost-to-serve.
  • Ability to convert technology concepts into measurable productivity improvements.
  • At least 3 years of practical experience with Generative AI and enterprise AI.
  • Hands-on experience designing or implementing AI applications and/or AI agents.
  • 15 years of full-time education.
Responsibilities
  • Define the AI and Agentic AI strategy for SAP implementation and application management services.
  • Assess the complete SAP delivery lifecycle, including Discover, Requirements, Design, Build, Integration, Data Migration, Testing, Deployment, Hypercare, and Application Management/Product Support.
  • Develop an SAP AI productivity roadmap aligned to measurable business outcomes.
  • Create and lead a portfolio of AI use cases and agents for SAP delivery.
  • Ensure AI solutions can securely interact with SAP and non-SAP enterprise systems.
  • Partner with SAP functional and technical teams to redesign delivery processes and support execution of the designed roadmap.
  • Provide technical leadership across Generative AI, retrieval-augmented generation, prompt engineering, embeddings, vector search, large language model selection, agent orchestration, multi-agent architectures, AI evaluation, guardrails, human-in-the-loop controls, AI observability, AI security, and responsible AI.
  • Develop the SAP Delivery Operating Model within the AI Technology Delivery Life Cycle.
  • Establish and lead an SAP AI Platform/Enablement team that provides reusable AI capabilities, tools, agents, frameworks, and services for SAP implementation and application support teams.
  • Define the AI platform architecture, engineering standards, reusable components, governance, security, integration patterns, and deployment model to accelerate AI adoption across SAP delivery.
  • Build a scalable AI Factory/platform that enables implementation and support teams to rapidly develop, deploy, and consume AI solutions without building each use case from scratch.
  • Partner with SAP functional, technical, implementation, and application management services teams to identify opportunities, prioritize use cases, and provide the platform, engineering, and AI expertise needed to industrialize successful proofs of concept.
Desired Qualifications
  • Experience with SAP Cloud ALM and/or SAP's modern development and delivery ecosystem.
  • Experience with SAP Business AI, Joule, Joule Studio, or equivalent SAP AI capabilities.
  • Experience integrating AI solutions with enterprise applications.
  • AI/cloud certifications from major cloud or AI platforms.
  • SAP certifications in relevant architecture or technology areas.

About the company

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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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

  • Health Insurance
  • Professional Development Budget
  • 401(k) Retirement Plan
  • 401(k) Company Match

Company News

Yahoo Finance
Oct 23rd, 2026
Accenture jumps 19% on earnings beat as SEC opens private assets to retail investors

Accenture shares rose about 19% after the consulting firm beat earnings and revenue expectations for its fiscal 2026 year, and guided fiscal 2027 slightly above Wall Street forecasts. Revenue grew 5% in local currency; management expects 3% to 6% growth next year. Non-GAAP operating margin edged up to 15.8%. The stock had dipped below 10 times expected earnings and now trades at about 14 times. Accenture said 65% of new bookings came from outcome-based fixed-price projects, which a Motley Fool contributor called a counterweight to AI's unpredictable costs. Separately, new US Securities and Exchange Commission rules aim to open private assets to retail investors. They raise the performance fee cap for registered advisers, add professional licences as a route to accredited investor status, and give private funds more leeway on redemptions.

Yahoo Finance
Oct 22nd, 2026
Accenture eyes $1.5B Greater China sale while building Gemini AI launchpads for US agencies

Accenture's federal arm, Accenture Federal Services, is working with Google Public Sector on Gemini launchpads for US federal agencies. The tools aim to help agencies build generative AI models into mission workflows and internal operations. Separately, Accenture is reviewing options for its Greater China business, including a possible sale. A deal was reported at up to $1.5 billion, and the company has hired JPMorgan to explore options. Accenture, a US-based IT consulting and managed services group, has a market value of about $141.3 billion. Investors are watching for contract wins from the Gemini work and any formal update on the China review.

Business Wire
Oct 21st, 2026
TÜV SÜD and Accenture unveil physical AI safety suite to bring factories online up to 30% sooner

TÜV SÜD and Accenture are working with NVIDIA technologies to speed up safety certification of robots in factories and warehouses. They unveiled a joint "Physical AI Safety Suite" at NVIDIA GTC Berlin. The suite uses digital twins, AI agents, and simulations to partly replace manual assessments. TÜV SÜD estimates the digital process could bring production online up to 30% sooner. Certification against standards such as ISO 3691-4 is mandatory in many industrial countries before automated facilities can start. At a medium-sized plant, agreeing on safety concepts can take several weeks. The suite checks layouts, robot fleets, and individual robots before deployment. TÜV SÜD provides independent assessment and keeps responsibility for certification.

Yahoo Finance
Oct 16th, 2026
Accenture caps staff AI spending at $29 a month after $1,000 bills

Accenture has capped employee AI spending at $29 (£21.75) a month after some staff ran up bills of $1,000, according to a report by 404 Media. The consulting firm wants to curb runaway costs as employees use AI for more everyday tasks. Companies are typically billed by usage, like a utility. Last week, some staff were told their access to Anthropic's Claude had been pulled entirely. Others are also reining in costs. Uber capped engineers' Claude spending at $1,500 a month after using up its AI budget in four months, while Microsoft has reportedly cut its Claude spending by about a third. The curbs come as Anthropic prepares for a public listing, targeting a valuation as high as $2tn. Investors are reportedly considering about $1.5tn.

Yahoo Finance
Oct 16th, 2026
Accenture's AI push: analysts see earnings reaching $10.3B by 2029 on 5.2% yearly revenue growth

Accenture is shifting AI work from pilots to deeply embedded systems, according to recent deals with UMass Memorial Health, Dell, Microsoft and Workday. The UMass Memorial project is a multi-year AI data platform, while the Dell alliance pitches private AI infrastructure to regulated clients. Analysts expect revenue to grow 5.2% a year over the next three years, with profit margins rising from 11.3% to 11.9%. They forecast earnings of $10.3 billion by 2029, up from $8.4 billion today, on revenue of $86.3 billion. The stock trades at a price-to-earnings ratio of 14.2x, against 21.9x for US IT peers. Risks include slower decision cycles in federal and EMEA work, which could curb consulting demand and margins.