Job Summary
We are looking for an experienced and customer-focused AI/ML Solutions Architect to drive the identification, design, and development of AI/ML solutions for our customers.
The ideal candidate will work closely with customer stakeholders to understand business challenges, identify opportunities where Artificial Intelligence, Machine Learning, and Generative AI can deliver measurable business value, and translate those opportunities into innovative technology solutions and new project engagements.
This role requires a combination of strong technical knowledge, consulting skills, customer relationship management, and the ability to drive business growth through AI-led solutions.
What Success Looks Like
- Identifying new AI/ML opportunities within existing and prospective customer accounts.
- Successfully conducting AI discovery workshops and solution presentations.
- Developing compelling AI/ML prototypes and demonstrations.
- Converting AI opportunities into new customer projects and revenue.
- Establishing the organization as a trusted AI/ML solutions partner
Key Responsibilities
1. Customer Engagement & Opportunity Identification
- Work directly with customers to understand their business objectives, challenges, and technology landscape.
- Identify opportunities to leverage AI, ML, Generative AI, and automation to solve business problems.
- Conduct customer workshops, discovery sessions, and technical discussions.
- Proactively identify and develop new AI/ML project opportunities.
2. AI/ML Solution Architecture & Consulting
- Design and recommend AI/ML solutions aligned with customer requirements and business goals.
- Develop solution architecture, technical proposals, and implementation roadmaps.
- Identify appropriate AI models, frameworks, platforms, and technologies.
- Evaluate opportunities involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, predictive analytics, computer vision, and natural language processing.
3. Proof of Concepts & Solution Development
- Lead the development of AI/ML prototypes and Proofs of Concept (POCs) to demonstrate business value.
- Work with engineering and delivery teams to translate concepts into scalable production solutions.
- Evaluate emerging AI technologies and identify opportunities to incorporate them into customer solutions.
- Ensure proposed solutions address security, scalability, performance, and responsible AI considerations.
4. Business Development & Practice Growth
- Collaborate with sales and account management teams to identify and qualify AI/ML opportunities.
- Prepare technical presentations, solution proposals, estimates, and RFP/RFI responses.
- Participate in customer presentations and solution demonstrations.
- Help convert identified opportunities into funded projects and long-term customer engagements.
- Contribute to building and expanding the organization’s AI/ML solutions portfolio.
Skill Requirements
Required Qualifications & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related discipline.
- Total experience of 12+ Years with 5 to 10 years of experience in technology consulting, solution architecture, AI/ML engineering, or related roles.
- Hands-on understanding of AI/ML concepts, algorithms, frameworks, and implementation approaches.
- Experience with Python, machine learning frameworks, and cloud-based AI platforms.
- Good understanding of Generative AI, LLMs, RAG architectures, prompt engineering, and AI agents.
- Must have strong experience in AI governance, responsible AI, security and compliance
- Experience engaging directly with enterprise customers and translating business requirements into technical solutions.
- Strong communication, presentation, analytical, and problem-solving skills.
- Ability to work collaboratively with sales, engineering, architecture, and delivery teams.
Other Requirements
Preferred Qualifications
- Experience with AWS, Azure, or Google Cloud AI services.
- Experience with OpenAI, Azure OpenAI, LangChain, vector databases, and enterprise GenAI solutions.
- Experience developing AI/ML POCs and taking solutions into production.
- Prior experience in technical pre-sales, consulting, or solution-led business development.
- Experience preparing technical proposals and responding to RFPs.
- Expertise in distributed systems, microservices, APIs, event-driven architectures, and platform engineering.