AI Solution Architect

Overview

We are seeking an experienced AI Solution Architect to lead the design and development of cutting-edge AI/ML solutions in collaboration with our sales, product, and delivery teams. The ideal candidate will have strong technical acumen in AI, machine learning, and data engineering, combined with a proven track record in presales, client engagement, and offer development. This role bridges business needs and technology capabilities to craft impactful, scalable, and commercially viable AI solutions.

Responsibilities

Presales & Solutioning

Lead the AI/ML solutioning during presales engagements by assessing client requirements, conducting feasibility analysis, and identifying the right-fit technology stack.

Create solution architectures, conceptual models, and high-level designs aligned to client business goals.

Collaborate with sales teams to drive customer conversations, technical workshops, and demos.

Respond to RFPs/RFIs and develop compelling proposals, effort estimates, and technical presentations.

Translate complex AI concepts into business language for diverse stakeholders, including CXOs.

Offer Development & Go-to-Market (GTM)

Develop and package AI solution offerings tailored to industry use cases (e.g., predictive maintenance, customer intelligence, document automation, anomaly detection).

Partner with product and marketing teams to define go-to-market strategies, value propositions, and sales collateral.

Stay updated on emerging trends in AI/ML, GenAI, MLOps, LLMs, and related ecosystems to ensure competitive positioning of offerings.

Support internal capability building by defining solution blueprints, reusable assets, and reference architectures.

Client Engagement & Delivery Handoff

Act as a trusted advisor to clients on AI-driven digital transformation initiatives.

Participate in initial project mobilization, ensuring smooth hand-off to delivery teams with a clear understanding of solution architecture, risks, and assumptions.

Support POCs, pilots, and MVPs to validate solution hypotheses and drive stakeholder buy-in.

Qualifications

Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.

Essential skills

Deep knowledge of machine learning, deep learning, NLP, LLMs, and MLOps pipelines.

Experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, Google Vertex AI).

Proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and data frameworks.

Demonstrated success in presales roles: proposal writing, effort estimation, pricing strategies.

Excellent communication, presentation, and stakeholder management skills.

Understanding of enterprise architecture, data governance, and compliance (GDPR, HIPAA, etc.).

Desired skills

Experience with GenAI/LLM use cases and frameworks (LangChain, RAG pipelines, etc.).

Familiarity with business domains like BFSI, Healthcare, Manufacturing, or Retail.

Prior experience working with consulting firms or system integrators is a strong plus.

Certifications in AI/ML (e.g., AWS Certified Machine Learning Specialty, Microsoft AI Engineer) are desirable.

Experience

8+ years of IT experience with at least 3–5 years in designing and architecting AI/ML solutions.