Experience:
12+years

Location:
Hyderabad/Bangalore Notice period : Immediate to 60days The Role We are hiring an Architect, AI, Data Science & Data Engineering to set the technical direction for one of our most strategic practices. This is a player-coach leadership role spanning engineering leadership, AI and data science, and data engineering. You will own the technical vision, the architecture, and the health of the teams that execute it .
You will set technical direction across complex problems, grow and mentor a multidisciplinary team of engineers and architects, and stay close enough to the technology to earn the trust of the people you lead What You'll Own Engineering leadership
• Set the technical vision and architecture for the practice's hardest, most novel problems
• Operate as a hands-on technical authority in design reviews and the deepest architectural decisions
• Define modern, cloud-native and AI-native reference architectures that the team can build on AI / ML & Data
• Lead the practice's generative, agentic, and ML capabilities — from data foundations through modeling and evaluation
• Architect AI-ready data platforms: cloud-native pipelines, lineage and observability, governance, and metadata management at enterprise scale
• Establish responsible-AI and evaluation practices so solutions are reliable, measurable, and trustworthy R&D; & exploring new ideas
• Drive an active R&D; agenda — exploring emerging AI techniques, tools, and architectures ahead of the market
• Prototype complex, ambitious ideas quickly to test feasibility and prove value
• Create space for the team to experiment, learn, and turn research into practical capability Customer & client conversations
• Engage directly with customers and clients as the senior technical voice — discovery, framing problems, and shaping what's possible
• Translate client needs into technical direction,



and technical possibility into language executives understand
• Build trusted technical relationships that open new conversations, ideas, and opportunities People & practice
• Hire, mentor, and grow a multidisciplinary team of engineers, ML practitioners, and architects
• Be accountable for career growth, performance management, and a strong, inclusive engineering culture
• Define hiring plans, skills development, and a healthy bench aligned to demand What You Bring We care far more about demonstrated depth and breadth than years on a résumé. The right person is fluent across the full data science spectrum and knows which technique fits which problem
• Hands-on comfort across the full range of data science: tree-based methods, linear models, stochastic processes, computer vision, graph ML, NLP, agentic AI, reinforcement learning, and LLMs
• The judgment to select the right approach for each problem — and to justify the trade-offs to both engineers and executives
• Proven technical leadership in a consulting, professional services, or product engineering environment serving enterprise clients
• Hands-on depth in modern data engineering and cloud-native architecture: pipelines, DataOps, governance, and MLOps/LLMOps
• Comfort with Temporal for durable workflow orchestration — building reliable, long-running data, ML, and agentic pipelines
• Architecture-level fluency in at least one major cloud (AWS, GCP, or Azure) and the modern data/ML tooling ecosystem
• Track record of leading teams through ambiguous, research-heavy problems to working solutions




• Exceptional communicator who can move between a whiteboard with engineers and a boardroom with C-level stakeholders
• Successful clearance of the GAIA Interview as part of the selection process (required) Nice to Have
• Experience building or scaling an AI/ML or data engineering practice from the ground up
• Familiarity with production GenAI: RAG, agentic workflows, evaluation frameworks, and LLMOps
• Domain knowledge in a strategic vertical (retail, financial services, manufacturing, healthcare, or technology)
• A visible public thought-leadership presence: talks, publications, open-source, or reference architectures
• Experience managing distributed, multi-country engineering teams

What We Offer
• The mandate to shape and scale a strategic, high-visibility AI and data practice
• Work with Fortune 1000 clients on transformative, AI-first problems with real business impact
• Solid leadership exposure, competitive compensation, and a culture that values engineering excellence and continuous learning
• A boutique-feel, global-scale environment with access to the latest in generative, agentic, and physical AI About Grid Dynamics Grid Dynamics (Nasdaq: GDYN) is an AI-first digital engineering and technology consulting company. Founded in Silicon Valley in 2006, we transform Fortune 1000 enterprises through advanced generative, agentic, and physical AI, modern data platforms, and cloud-native engineering. With roughly 5,000 technical professionals across 19 countries, we pair the personal attention of a boutique partner with the engineering muscle of a global powerhous e.
Our Forward Deployed Engineers embed inside client teams to deliver measurable business outcomes — and our Grid Dynamics AI Native (GAIN) platforms accelerate enterprise AI transformation with security, scale, and ROI from day one.

📌 AI Architect (Bengaluru)
🏢 Grid Dynamics
📍 Bengaluru