By joining us, you’ll:
- We’re an OpenAI Advanced Partner and an Anthropic Service Partner, with a direct line to both labs’ solution engineers. We also build production work on ElevenLabs, so you’re getting early, hands-on access to new models and features before they hit the mainstream.
- Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
- Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
- Contribute to open-source projects – just take a look at our latest solution, ragbits, an agentic RAG framework with over 1.6k stars on GitHub.
And the best part of working at deepsense.ai?
- Spread your wings with clear career paths, technical or leadership.
- Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds.
- Tap into domain expertise and knowledge sharing whenever you need it.
Why it’s worth it:
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Work with frontier-level AI on transformations that change how organizations operate
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See your impact in real numbers, not just slide decks
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Team up with ML and AI engineers who can build exactly what you design
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Grow toward deeper strategy consulting or more hands-on AI solution design
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You own the full journey – from the first discovery workshop to measurable ROI after deployment
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You’re in the room with key business stakeholders, uncovering the pain points that matter most
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Your prioritization decides where AI goes first – based on impact, feasibility, risk and ROI
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You don’t just map processes – you redesign them, from AS-IS bottlenecks to TO-BE workflows built for AI
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Your specs, flow diagrams and user stories become the blueprint engineers build from
The ideal candidate:
- Has 5–8 years of professional experience in Business Analysis, Process Optimization or Process Automation solutions
- Is confident leading interactive discovery sessions and scoping workshops
- Can gather and engineer requirements – from writing and visualizing them to managing them
- Can translate data into actionable business insights and recommendations.
- Evaluates use cases with structured frameworks, e.g. impact vs. effort or feasibility analysis
- Understands process mapping, workflow automation and practical uses of AI in business
- Uses AI tools daily for research, proofreading and structuring documents
- Stands out with strong communication skills.
- Has a background in technology or strategy consulting
- Knows the data governance, security and ethics side of enterprise AI deployment
- Bonus points for experience in technology or strategy consulting and knowledge of the data governance, security and ethics side of enterprise AI deployment.
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