Architect (AI Solutions)
Taas Partners · taaspartners.com
IndiaSenior10–15 yrs
Subscribers got this job on 3 October 2026.
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The job in short
Forward deployed AI solutions engineer onboarding enterprise clients to AI coding tools.
PythonJava.NETLLMPrompt engineeringSaaS
Details
- Found
- 22 d ago · posted 2026-10-03
- Role
- Solutions / Software Architect
- Source
- The company’s own careers site
Full description
Hiring Architect / Engineer Managers (ICs) for one the fastest growing partners of Cognition (Devine)
Looking for senior, architect-level AI-Focused Forward Deployed Engineers to drive enterprise adoption of powerful AI tools for Software Engineering.
• You'll be the primary technical interface for clients, onboarding them, running enablement workshops, translating business needs into AI workflows, and ensuring they get real value. System design and codebase work come in later phases.
You'll be responsible for:
• Leading onboarding, workshops, and hands-on training for AI tool adoption
• Translating customer use cases into actionable AI workflows and best practices
• Troubleshooting and guiding clients in real-time
• Relaying customer feedback to product and engineering teams
• Supporting integrations, custom configurations, and pilot deployments
• Building client self-sufficiency through documentation and knowledge sharing
Requirements:
• 10-15+ years of relevant industry experience in software engineering, technical customer roles, or AI enablement
• Architect-level expertise, capable of providing rapid, effective solutions to complex and evolving challenges
• Strong exposure to enterprise-scale systems and architectures
• Experience working with large multinational organisations
• Degree from a top-ranked university
• Demonstrated career stability, with no frequent job changes
• Familiarity with AI/ML tools, platforms, and workflows
• Proficiency in at least one language (Python, Java, .Net, etc.) and APIs
• Ability to explain complex AI concepts to non-technical stakeholders
• Excellent communication and stakeholder management skills
• Willingness to travel
Nice to have:
• LLM/prompt engineering experience, enterprise SaaS exposure, consulting or solution engineering background.
• You're a fit if you're customer-first, hands-on, comfortable with ambiguity, and motivated by delivering tangible client outcomes.
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