About Mindstix Software Labs

Mindstix accelerates digital transformation for the world's leading brands. We are a team of passionate innovators specialized in Digital Experiences, Enterprise Mobility, Cloud Engineering, and Data Science.

Our UX studio and modern-stack engineers deliver world-class products for our global customers, including Fortune 500 enterprises and Silicon Valley startups. Our work impacts a diverse set of industries such as eCommerce, Luxury Retail, SaaS, Consumer Tech, Health Tech, and Hospitality.

A fast-moving open culture powered by curiosity and craftsmanship. A team committed to bold thinking and innovation at the very intersection of business, technology, and design. That's our DNA.

Roles and Responsibilities

Mindstix is looking for an experienced Data & AI Architect to design and deliver scalable, secure, and enterprise-grade data and AI solutions. The ideal candidate should possess strong experience in data architecture, cloud platforms, AI/ML, Generative AI, and enterprise solution architecture, along with strong technical leadership and stakeholder management skills.

As a Data & AI Architect, you will be responsible for:

Design and define enterprise data and AI architecture across cloud platforms, data platforms, business applications, and AI solutions.
Architect scalable, secure, and high-performing data platforms and pipelines supporting analytics, AI/ML, and business intelligence use cases.
Design and implement modern data architectures including data lakes, data warehouses, lakehouse architectures, data platforms, and real-time data processing.
Define and implement AI/ML solutions using Python, machine learning frameworks, Generative AI, Large Language Models (LLMs), and related AI technologies.
Architect and implement Generative AI solutions including RAG, vector databases, embeddings, prompt engineering, and AI agents.
Design AI integrations with enterprise applications, APIs, business systems, and cloud-native services.
Work with cloud platforms such as AWS, Azure, or GCP to build scalable data and AI solutions.
Define data governance, security, privacy, quality, and compliance standards across enterprise data platforms.
Design data integration pipelines using batch and real-time processing frameworks.
Collaborate with Product Owners, Engineering, Data Engineering, DevOps, and Business stakeholders to translate business requirements into scalable data and AI solutions.
Lead architecture discussions, perform design reviews, and ensure high-quality technical deliverables.
Evaluate emerging AI technologies, tools, and frameworks and recommend suitable solutions based on business and technical requirements.
Drive best practices around MLOps, CI/CD, model deployment, monitoring, and AI solution lifecycle management.
Troubleshoot complex data and AI production issues and implement long-term, scalable solutions.
Mentor engineers and data/AI teams, conduct technical reviews, and promote engineering best practices.
Prepare architecture documentation, data flow diagrams, solution designs, technical specifications, and deployment plans.
Ensure data and AI solutions comply with enterprise security, scalability, performance, and governance standards.

Qualifications and Skills

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
5+ years of software/data engineering experience with significant expertise in data and AI architecture.
Willingness and flexibility to travel to Qatar and UAE based on project and business requirements.
Strong experience in designing enterprise data architectures and AI/ML solutions.
Strong hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Extensive experience with data platforms, data lakes, data warehouses, lakehouse architectures, and modern data engineering practices.
Strong expertise in Python and experience with data processing and AI/ML frameworks.
Strong understanding of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Hands-on experience with RAG, vector databases, embeddings, prompt engineering, and AI agents.
Experience with data integration, ETL/ELT pipelines, APIs, event-driven architecture, and real-time data processing.
Experience with databases such as SQL, NoSQL, and cloud-native data stores.
Strong understanding of data governance, data security, data quality, and privacy.
Experience with MLOps, CI/CD pipelines, model deployment, monitoring, and DevOps practices.
Experience integrating AI and data solutions with enterprise applications and business systems.
Strong knowledge of Git, CI/CD pipelines, DevOps practices, and release management.
Experience working with Agile/Scrum development methodologies.
Excellent analytical, troubleshooting, and problem-solving skills.
Strong communication, stakeholder management, and leadership skills.

Who Fits Best

You have extensive experience designing enterprise data and AI solutions across multiple cloud platforms.
You are passionate about building scalable, secure, and reusable data and AI architectures.
You have hands-on experience with modern AI/ML and Generative AI technologies.
You enjoy solving complex business and technical challenges using data and AI.
You have experience mentoring engineering, data, and AI teams and driving technical excellence.
You possess excellent communication skills and can effectively collaborate with global stakeholders.
You are comfortable working with international clients and are open to travelling to Qatar and UAE as required.
You thrive in a fast-paced, collaborative, and innovation-driven environment.

Location

This position is primarily based at our Pune (India) headquarters, requiring all potential hires to work from this location. A modern workplace is deeply collaborative by nature, while also demanding a touch of flexibility. We embrace deep collaboration at our offices with reasonable flexi-timing and hybrid options to our seasoned team members.

Benefits

Flexible working environment.
Health Insurance Coverage.
Accelerated Career Paths.
Global customers.
Competitive compensation and perks.
Rewards and Recognition.
Sponsored certifications.
Mentorship by industry leaders.

Equal Opportunity Employer

Mindstix is committed to an inclusive and diverse work environment. We do not discriminate based on race, colour, ethnicity, ancestry, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any other legally protected status.