Solution Architect & Data & AI

infopark; Abu Dhabi; Hybrid; AED 240,000 - 300,000; Full time

Job summary

A leading technology firm is seeking a Solution Architect for Data and AI with over 8 years of experience to lead the architecture and delivery of advanced solutions for enterprise clients. This role requires expertise in AI architecture and solutions, client consulting capabilities, and strong technical leadership in cloud technologies. The position is primarily remote, with occasional travel required to Abu Dhabi. Interested candidates should apply by sending their resume.

Qualifications

• Minimum of 8 years of total experience in Data/AI solution architecture roles.
• Proven client-facing and advisory consulting experience.
• Strong analytical, communication, and stakeholder management skills.

Responsibilities

• Design end-to-end data and AI architectures for clients.
• Build scalable cloud-native ecosystems using Azure, Snowflake.
• Lead architecture discussions and guide data/ML teams.

Skills

End-to-end AI architecture

MLOps

Spark

Kafka

Airflow

Hadoop

Python

SQL

Scala

Azure Synapse

Education

Bachelor’s/Master’s in Computer Science, Data Engineering, or related fields

Tools

Azure DevOps

Terraform

Kubernetes

Docker

Job description

Solution Architect - Data & AI

Greetings,

We are hiring for the below:

Position: Solution Architect (Data & AI)
Experience: 8+ Yrs
Work Model: Work from Home in India and if needed should be willing to travel onsite in Abu Dhabi
Notice Period: Immediate to 30 days
Mode: Permanent

Job Description

We are looking for an experienced, hands‑on Solution Architect (Data and AI) to lead the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients across industries. The role combines technical leadership, strategic consulting, and solution design, ensuring our clients derive measurable business value from their data investments. You will act as a trusted advisor to clients, guide technical teams, and architect best‑in‑class solutions that leverage the latest in cloud, data, and AI innovation.

Responsibilities:

• Solution Design & Architecture – Design end‑to‑end data and AI architectures across ingestion, transformation, storage, analytics, and ML layers.
• Build scalable, cloud‑native ecosystems using Azure, Snowflake, and open‑source frameworks (Spark, Airflow, Kafka).
• Define architecture blueprints, data models, and governance‑aligned integration patterns.
• Develop AI/ML platforms with MLOps, monitoring, and responsible AI principles.
• Technical Leadership – Lead architecture discussions, design reviews, and guide data/ML teams through delivery.
• Drive modern data engineering practices (CI/CD, IaC, DevOps).
• Evaluate and recommend emerging technologies for enterprise solutions.
• Client Consulting & Engagement – Translate business needs into scalable data‑driven solutions.
• Support pre‑sales, RFPs, and executive‑level presentations.
• Advise on data strategy, architecture roadmaps, and AI adoption frameworks.
• Delivery & Governance – Ensure architectural integrity, scalability, compliance with data privacy standards.
• Define best practices, reusable assets, and mentoring frameworks for internal teams.

Key Skills Requirements:

• Proficient in end‑to‑end AI architecture (data prep to deployment) with MLOps, Spark, Kafka, Airflow, Hadoop, dbt, and Delta Lake.
• Expertise in LLMs, GenAI models, and AI agents using Azure OpenAI, LangChain, and Semantic Kernel.
• Experience with RAG pipelines, vector databases, and governance frameworks.
• Hands‑on expertise in Azure Synapse, Data Factory, Databricks, Purview, and Machine Learning.
• Experience with Azure OpenAI, Cognitive Services, and Microsoft Fabric.
• Efficiency in data lakehouse design, Snowpark, Streamlit, optimization for‑scale analytics, automation using dbt, Airflow, and Terraform.>
• Strong programming skills in Python, SQL, and Scala, and experience with API/microservice‑ data integration.
• Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
• Proven client‑facing and advisory consulting experience with strong analytical, communication, and stakeholder management skills.
• Bachelor’s/Master’s in Computer Science, Data Engineering, or other related fields.
• Minimum 8 years of total experience, with at least years in Data/AI solution architecture roles.
• Preferred certifications: Azure Solutions Architect Expert, Data Engineer Associate, SnowPro Core, Advanced Architect, and TOGAF (optional).

If you are interested, please share your updated resume to [e-mail] for further process.