Industry AI Consultant Engineer

mid

OtherAi Consultant

0 views0 saves0 applied

Apply Now

Quick Summary

Requirements Summary

Automotive, Manufacturing, Lifesciences, Oil & Gas, Pharma, Healthcare Can run discovery workshops, map value streams, design end-to-end AI architecture: data pipelines, RAG, agents,

Technical Tools

OtherAi Consultant

We are looking for a Industry Data & AI professional with strong consulting and product-oriented thinking, capable of designing, building, and scaling end-to-end AI solutions across complex enterprise environments. The role requires hands-on technical depth combined with the ability to engage business stakeholders, lead discovery initiatives, and translate strategic objectives into robust, production-ready AI architectures.

The ideal candidate has experience delivering Data & AI solutions in one or more industries such as Automotive, Manufacturing, Life Sciences, Oil & Gas, Pharma, and Healthcare, and is comfortable operating at the intersection of business value, data engineering, and modern AI technologies including LLMs, agentic systems, and cloud-native platforms

Responsibilities

~1 min read

→Lead discovery workshops with business and technical stakeholders to identify AI use cases, map value streams, and define measurable business outcomes
→Translate business problems into scalable AI products with strong product thinking, clear roadmaps, and well-defined MVPLead discovery workshops with business and technical stakeholders to identify AI use cases, map value streams, and define measurable business outcomes
→Translate business problems into scalable AI products with strong product thinking, clear roadmaps, and well-defined MVPs and iterations
→Design, build, and optimize AI solutions using modern AI frameworks (Llama Index, LangChain) and/or low-code/no code agentic platforms, including prompt engineering and LLM integrations
→Design and implement data engineering solutions, including data modeling
→Work across hyperscaler cloud platforms (AWS, Azure, GCP), leveraging foundation services as well as native Data & AI services
→Collaborate with cross-functional teams (engineering, data, UX, product, business) to ensure successful delivery and adoption of AI solutions
→Contribute to best practices, standards, and architectural guidelines for enterprise-grade Data & AI and agentic systems and iterations

Requirements

~1 min read

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s 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.

Visit us at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.