AI Solution Architect

Ai Nxt Technovations

Role Overview :

As an AI Solution Architect, you will act as the bridge between clients and our AI engineering teams.

You will be responsible for translating complex business problems into AI-powered solutions, creating robust solution architectures, and leading the delivery of POCs that demonstrate real business value.

This is a strategic and client-facing leadership role, combining business consulting, technical expertise, and delivery execution.

Key Responsibilities :

• Client Engagement & Problem-Solving

• Work directly with clients to deeply understand their workflows, challenges, and compliance needs.

• Conduct discovery workshops to identify high-value AI use cases and define business impact.

• Solution Architecture

• Design end-to-end AI solutions, including data strategy, model selection, cloud architecture, and integration layers.

• Ensure solutions meet security, scalability, and compliance standards, especially for BFSI clients.

• POC Delivery & Leadership

• Lead Proof of Concept (POC) and pilot projects from strategy to execution.

• Define success metrics, scope, and timelines while ensuring quick and measurable results.

• Pre-Sales & Stakeholder Management

• Partner with business teams to prepare proposals, respond to RFPs, and participate in client pitches.

• Present AI roadmaps and demo solutions to senior stakeholders and CXO-level executives.

• Continuous Innovation

• Stay current with emerging AI/ML technologies, LLM advancements, and BFSI trends.

• Recommend new frameworks and approaches to deliver cutting-edge solutions.

Required Skills & Experience :

Experience : 6 - 15 years in AI/ML solutioning, with at least 3+ years in client-facing BFSI or enterprise environments.

Technical Expertise:

• Strong knowledge of Machine Learning, Deep Learning, NLP, and Computer Vision.

• Hands-on experience with Python, PyTorch, TensorFlow, OpenCV, Hugging Face, etc.

• Expertise in cloud platforms like AWS, Azure, or GCP.

• Understanding of API integrations, microservices, and data governance.

• Domain Knowledge:

• Strong understanding of BFSI processes such as KYC, fraud detection, risk management, and regulatory workflows.

Soft Skills:

• Exceptional communication and client presentation skills.

• Strong problem-solving and analytical capabilities.

• Ability to translate complex technical solutions into simple business outcomes.

• Preferred Qualifications

• Experience with AI-driven BFSI or FinTech projects.

• Certifications in Cloud Architecture (AWS, Azure, GCP).

• Familiarity with RBI, SEBI, and global compliance regulations.

• Willingness to travel internationally, especially to Dubai, for client engagements.