AI Solution Architect

Experience

1015 years overall experience (with 5 years in AI/Data

Architecture roles)

Job Summary

We are seeking a highly skilled AI Solution Architect with

deep expertise in Data Architecture, AI/ML platforms, and Generative AI

solutions, to design and deliver scalable, secure, and enterprise-grade data

and AI solutions.

The ideal candidate will have strong hands-on experience

across datalake house architectures, modern BI platforms, ML/ML Ops,

Conversational Analytics, Generative AI, and Agentic AI frameworks, and will

work closely with business, data engineering, and AI teams to drive end-to-end

AI-led transformation.

Key Responsibilities

Data & Platform Architecture

• Design

and own end-to-end data architectures including ingestion, processing,

storage, governance, and consumption layers

• Define

scalable data platforms supporting batch, streaming, and real-time

analytics

• Establish

data governance, metadata management, data quality, lineage, and security

frameworks

AI, ML & ML Ops Architecture

• Design

ML/AI architectures supporting model training, deployment, monitoring, and

lifecycle management

• Define

and implement ML Ops frameworks (CI/CD for ML, feature stores, model

registries, observability)

• Collaborate

with data scientists to productionize ML models at scale

• Evaluate

and recommend ML frameworks, tools, and best practices

Generative AI & Agentic AI

• Architect

and implement Generative AI solutions using LLMs (e.g., text, code,

embeddings, multimodal use cases)

• Design

Conversational Analytics and AI-powered BI solutions

• Build

and evaluate Agentic AI platforms, including autonomous agents,

orchestration frameworks, and tool integrations

• Lead

solution evaluations, PoCs, and vendor/tool assessments for GenAI and

Agent-based systems

Business Intelligence & Analytics

• Design

modern BI and analytics platforms enabling self-service analytics and

AI-driven insights

• Integrate

BI tools with data Lakehouse and AI layers

• Enable

semantic layers, metrics definitions, and governed analytics

• Ensure

architectures follow best practices for security, scalability,

performance, and cost optimization

Stakeholder & Technical Leadership

• Partner

with business leaders to translate business requirements into AI-driven

solutions

• Lead

technical design reviews and architecture governance

• Mentor

engineers, architects, and data scientists

• Create

architecture blueprints, reference architectures, and technical

documentation

Core Technical Skills

• Strong

experience in Data Architecture & Data Platforms

• Hands-on

expertise in Data Lakehouse architectures

• Deep

understanding of end-to-end data management

• Experience

with modern BI platforms and analytics ecosystems

• Strong

background in AI/ML architecture and MLOps

• Proven

experience in Conversational Analytics and Generative AI

• Hands-on

exposure to Agentic AI platforms, frameworks, and evaluations

Tools & Technologies (preferred)

• AI/ML:

TensorFlow, PyTorch, scikit-learn, LLM frameworks

• MLOps:

CI/CD, feature stores, model registries, monitoring tools

• Data:

SQL, Python, Spark, Kafka

• BI:

Looker, Tableau, Power BI (or equivalent)

Preferred Qualifications

• Bachelors

or Masters degree in Computer Science, Data Science, Engineering, or

related field

• Experience

working in large-scale enterprise or consulting environments

• Strong

communication and stakeholder management skills