S&C GN - MC - Industry X - Digital Engineering R&D – Consultant at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Goods, Automotive, Industrial Equipment, Med-Tech, Aerospace & Defense, Hi-Tech, LifesciencesIndustries

Requirements

6+ years in consulting or product management, with demonstrable experience in leading or contributing to AI/ML or Gen AI/Agentic AI projects
Academic Background: BE/B.Tech from IIT/NIT/Tier-1 institutes; MBA from Tier 1 Colleges (or equivalent management qualification combined with an engineering or technology foundation)
Aligned with the skills required for one of the capabilities within CoE, being recruited for
Consulting Acumen: Proven experience in client-facing roles such as Program Manager, Project Manager or Business Analyst
AI Project Experience: Demonstrable experience in defining, managing, or delivering projects with a significant AI or Generative AI component
AI Knowledge (Functional): Solid understanding of the Generative AI landscape, including key concepts like LLMs, prompt engineering, and their business applications; Familiarity with major AI platforms and their capabilities (e.g., Microsoft Azure AI, Google Cloud AI, AWS AI services); Awareness of how AI is being integrated into enterprise platforms (e.g., PLM, SAP)
Core Consulting Skills: Exceptional ability to gather, analyze, and translate business requirements into actionable plans; Outstanding communication, presentation, and stakeholder management skills, with the ability to influence C-level executives
Good to Have: Knowledge of AI governance, risk management, and ethical frameworks; Certifications in Agile (e.g., SAFe, CSPO, CSM) or AI platforms

Responsibilities

Aligned with the roles & responsibilities of one of the capabilities within CoE, being recruited for
Advise clients on AI strategy, identifying high-impact use cases and building actionable adoption roadmaps
Manage the end-to-end agile delivery of AI solutions, translating business needs into successful products
Act as the primary bridge between business stakeholders and technical teams to ensure AI solutions meet strategic goals
Champion change management to drive user adoption of AI tools and foster a culture of innovation
Serve as the functional expert on AI platforms and tools to guide client decision-making

Skills

Key technologies and capabilities for this role

AI StrategyGen AIAgentic AIAI/MLProduct ManagementAgile DeliveryChange ManagementConsulting

Questions & Answers

Common questions about this position

What experience level is required for this consultant role?

The role requires 6+ years in consulting or product management, with demonstrable experience in leading or contributing to AI/ML or Gen AI/Agentic AI projects.

What educational background is needed for this position?

Candidates need a BE/B.Tech from IIT/NIT/Tier-1 institutes and an MBA from Tier 1 Colleges.

Where is this job located?

The position is located in India.

What are the must-have skills for this role?

Must-have skills include consulting acumen with experience in client-facing roles like Program Manager or Business Analyst, AI project experience in defining or delivering AI/Generative AI projects, functional AI knowledge of LLMs, prompt engineering, major AI platforms like Azure AI and Google Cloud AI, and core consulting skills in requirements analysis, communication, and stakeholder management.

What makes a strong candidate for this consultant position?

Strong candidates have an MBA or equivalent with an engineering foundation, proven consulting acumen, hands-on AI project experience, solid functional knowledge of Generative AI concepts and platforms, and excellent communication skills for C-level influence; good-to-have includes AI governance knowledge and certifications.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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