Live opening · Posted 6 days ago
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Description supplied by the original job listing.
Position – FDE Full stack Architect AI(Python, React, Azure, Microsoft Fabric and AI/GenAI solutions)
(FTE/Remote USA/ but travel when required)
FTE/C2C
Location: New York OR New Jersey – Remote (but travel when required)
New process implementation:.
All onboarding will be done in person at Client nearby office from candidates’ locations.
Travel expenses will be reimbursed .
FDE Fullstack Architect AI :
Background & Experience
Experience working with Velocity/All USA and delivering high-quality enterprise-level solutions.
Ability to represent the organization professionally and communicate effectively with clients and stakeholders.
Around 3 months of engagement, during which several Proofs of Concept (POCs) were implemented successfully.
Clients appreciated the consulting approach and quality of work, leading to broader rollout opportunities within portfolio companies.
Portfolio & Team Management
Managed a two-member team portfolio while maintaining strong technical involvement.
Technically sound and capable of asking the right questions to understand business requirements.
Able to clearly explain:
What was implemented.
What business problems were solved.
Alternative approaches considered.
Relevant project case studies and outcomes.
Business & Consulting Mindset
Strong understanding of the business context, not just the technical implementation.
Ability to connect technology initiatives with business outcomes and value creation.
Demonstrates a consultant's mindset by evaluating multiple solution options and recommending the most suitable approach.
Technical Capabilities
Strong technical and functional expertise.
Hands-on coding experience with modern technologies, including:
Python
React
Azure
Microsoft Fabric
AI/GenAI solutions
Possesses an FDE (Full Development Engineering) mindset with end-to-end ownership capabilities.
Leadership Interview Focus (Managing Director Round)
The Managing Director (MD) round will primarily assess:
Ownership mindset.
Architect-level thinking.
Ability to operate effectively in high-velocity environments with limited resources.
Decision-making under uncertainty.
Adaptability to changing business and technical requirements.
Adaptability & Change Management
Demonstrates the ability to adapt quickly to changing circumstances.
Understands that consultants must continuously evaluate options, learn rapidly, and adjust strategies when needed.
Shows resilience and the ability to overcome challenges in dynamic environments.
Growth Mindset & Learning Ability
Strong learning agility.
Demonstrates a growth mindset and openness to feedback.
Comfortable working with ambiguous requirements and evolving business needs.
Ability to navigate uncertainty while maintaining execution excellence.
AI & Product Ownership Experience
Experience with Generative AI and Agentic AI solutions.
Proven end-to-end ownership of AI initiatives.
Hands-on involvement throughout the solution lifecycle, from ideation to deployment.
Strong understanding of both technical architecture and business impact.
Candidate Assessment Questions
Consider asking:
What have you been working on recently?
What significant changes have you driven in your projects?
Which business problems were solved, and how was success measured?
How did you handle ambiguity or changing requirements?
Can you provide examples of end-to-end ownership?
What lessons did you learn from implementing AI solutions?
Ideal Candidate Profile
15+ years of IT industry experience.
Understands not only how to implement AI, but also why it should be implemented.
Mature professional with strong business and technology acumen.
Capable of operating at both strategic and hands-on levels.
Demonstrates leadership, ownership, adaptability, and a consulting-oriented mindset.
Work arrangement
Yes
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