Industry AI Consultant Engineer
Accenture Romania
Job Overview
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Job Description
About Us
Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people, cutting-edge technology, and leading companies across various industries, making a significant impact worldwide.
Overview
We are looking for an 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.
Key Responsibilities
- 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 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.
What You Need To Succeed
- Experience in consulting or enterprise IT with Data & AI in industries like Automotive, Manufacturing, Lifesciences, Oil & Gas, Pharma, Healthcare.
- Ability to run discovery workshops, map value streams, and design end-to-end AI architecture: data pipelines, RAG, agents, agentic frameworks, telemetry.
- Strong product thinking.
- Experience with Prompt engineering.
- Experience with AI related technologies:
- Python
- Agentic frameworks: Llama index, LangChain, etc.
- Vector DB
- LLM integrations
- Retrieval pipelines
- Orchestration
- Experience in Data Engineering:
- Data Modeling
- APIs
- Productizing AI workloads
- Good understanding of cloud:
- Hyperscaler: AWS, GCP, Azure
- Foundation services
- Data & AI services
- Knowledge of low-code/no-code agentic platforms like N8N and OpenAI Agent Kit.
Your life at Accenture
At Accenture, we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards. You'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.
Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.
Key skills/competency
- AI Solutions Design
- Data Engineering
- Consulting
- Product Thinking
- LLM Integration
- Cloud Platforms (AWS, Azure, GCP)
- Python
- Prompt Engineering
- Agentic Systems
- Stakeholder Management
How to Get Hired at Accenture Romania
- Research Accenture Romania's AI focus: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, specifically for Industry X and AI initiatives.
- Tailor your resume: Customize your resume to highlight your Data & AI consulting experience, industry expertise (Automotive, Manufacturing, etc.), and proficiency in modern AI frameworks and cloud platforms.
- Showcase product thinking: Prepare to articulate how you translate business problems into scalable AI products with clear roadmaps and measurable MVPs during your interviews.
- Prepare for technical deep-dives: Brush up on Python, agentic frameworks (Llama Index, LangChain), LLM integrations, prompt engineering, and your chosen hyperscaler cloud's AI services.
- Demonstrate business acumen: Be ready to discuss your experience leading discovery workshops, mapping value streams, and defining business outcomes for complex AI solutions.
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