Solution Architect – Data & AI

Arting Digital; Pune District; On-site; INR 10,849,909 - 16,274,863; Full time

Job summary

A leading digital solutions provider is looking for a highly skilled Solution Architect – Data & AI. The ideal candidate will have over 8 years of experience in designing and implementing data solutions and AI applications. Responsibilities include architecting scalable data solutions and collaborating with teams to ensure high-impact delivery. Proficiency in cloud platforms and big data technologies is essential, along with strong programming skills in Python and SQL. This role offers a dynamic work environment in Pune District, Maharashtra.

Qualifications

• 8+ years of experience in designing and implementing data and AI solutions.
• Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in Generative AI frameworks.

Responsibilities

• Architect and design end-to-end data and AI solutions to optimize decision-making.
• Collaborate with data engineers and business stakeholders to deliver high-impact AI applications.
• Drive innovation by identifying opportunities for data-driven improvements.

Skills

Experience in designing and implementing data and AI solutions

Strong expertise in cloud platforms (AWS, Azure, Google Cloud)

Hands-on experience with big data technologies (Spark, Databricks, Snowflake)

Proficiency in TensorFlow, PyTorch, Scikit-learn

Strong programming skills in Python, SQL, Java/Scala

Tools

TensorFlow

Databricks

Docker

Kubernetes

Job description

Position: Solution Architect – Data & AI
Location: Ahmedabad, Pune
Experience: 8+ Years
Preferred: Immediate Joiners

Job Overview

We are seeking a highly skilled and experienced Solution Architect – Data & AI to lead and drive our data-driven transformation. The ideal candidate will be responsible for designing and implementing cutting‑edge AI and data solutions that align with business objectives. You will work closely with cross‑functional teams to create scalable, high‑performance architectures that leverage modern technologies in data engineering, machine learning, and cloud computing.

Key Responsibilities

• Architect and design end‑to‑end data and AI solutions that address business challenges and optimize decision‑making.
• Define and implement best practices for data architecture, data governance, and AI model deployment.
• Collaborate with data engineers, data scientists, and business stakeholders to deliver scalable and high‑impact AI‑driven applications.
• Lead the integration of AI models with enterprise applications, ensuring seamless deployment and operational efficiency.
• Evaluate and recommend the latest technologies in data platforms, AI frameworks, and cloud‑based analytics solutions.
• Ensure data security, compliance, and ethical AI implementation.
• Guide teams in adopting advanced analytics, AI, and machine learning models for predictive insights and automation.
• Drive innovation by identifying new opportunities for AI and data‑driven improvements within the organization.

Required Skills & Qualifications

• 8+ years of experience in designing and implementing data and AI solutions.
• Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud.
• Hands‑on experience with big data technologies (Spark, Databricks, Snowflake, etc.).
• Proficiency in TensorFlow, PyTorch, Scikit‑learn, etc.
• Deep understanding of data modeling, ETL processes, and data governance frameworks.
• Experience in MLOps, model deployment, and automation.
• Strong programming skills in Python, SQL, and Java/Scala (preferred).
• Proficiency in Generative AI frameworks.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Excellent problem‑solving skills and the ability to work in a fast‑paced environment.
• Strong communication and leadership skills, with the ability to drive technical conversations.

Preferred Qualifications

• Certifications in cloud architecture, data engineering, or AI/ML.
• Experience with generative AI.
• Background in developing AI‑driven analytics solutions for enterprises.
• Experience with Graph RAG, Building AI Agents, Multi‑Agent systems.
• Additional certifications in AI/GenAI is preferred.
• Proven leadership skills are expected.