Director – AI/ML

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

Artificial Intelligence • SaaS • Enterprise

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Own and drive the design and delivery of production-grade agentic AI/ML solutions and platforms for global enterprise clients. • Translate complex business requirements into opinionated, prescriptive architectures and implementation plans that leverage modern agentic stacks, LLMs, and cloud-native AI/ML platforms. • Lead Zero-to-One delivery for the India Agentic Delivery Center, taking engagements from initial discovery through to production-ready agents and closed-loop intelligence workflows. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients, including under fixed-price and outcome-based commercial models. • Communicate the business value, ROI, and risks of agentic solutions to both technical and non-technical stakeholders, including executive and C-level audiences. • Collaborate with cross-functional partners including global leadership, forward-deployed US-based engineers, data engineering, analytics, partner, and marketing teams to deliver successful client engagements. • Partner with the Global Leadership team to prioritize agentic solutions and accelerators based on market demand, key technology stacks (e.g., Snowflake, AWS), and phData’s strategic roadmap. • Provide technical and strategic leadership during client workshops, discovery sessions, architecture reviews, and delivery governance forums. • Serve as the primary point of escalation for India-based delivery, resolving technical issues, client misalignments, and performance concerns with urgency and ownership. • Ensure high quality in deliverables through engineering best practices, including robust SDLC processes, code reviews, documentation, testing, and production-readiness standards. • Architect and stand up the foundational India Agentic Delivery Center, designing delivery models, operating mechanisms, and integrations with the broader consulting organization. • Recruit, onboard, and develop an elite team of architects and engineers, setting a high technical bar and ensuring consistent performance management and calibration. • Drive the development of reusable accelerators, modular agentic codebases, and solution templates that can be applied across clients and industries. • Contribute to internal initiatives such as IP development, capability management, partner engagement, and thought leadership aligned to AI/ML and agentic architectures. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders and acting as the face of the India agentic team with clients.

🎯 Requirements

• 14–18 years of experience in the IT industry, preferably within IT services or consulting organizations. • 8+ years as a hands-on architect with a proven track record of designing and implementing production-grade AI/ML platforms and solutions. • 5+ years of leadership experience in a Zero-to-One environment, building and scaling high-performing engineering teams from the ground up. • 3+ years of consulting leadership experience, including leading projects, maintaining client relationships, and aligning technical solutions to business value. • Demonstrated experience delivering complex technical projects under fixed-price or outcome-based commercial models, with a focus on project margins and delivery efficiency. • Deep technical understanding of Large Language Models (LLMs), agentic architectures, and retrieval frameworks, including building modular solutions and accelerators reusable across clients. • Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and the broader agentic stack beyond standard GenAI chat applications. • Deep expertise in cloud-native AI/ML platforms (e.g., AWS SageMaker, Bedrock, GCP Vertex AI, Azure ML, AI Studio, Databricks) and building robust, automated data and ML pipelines. • Proven experience deploying and maintaining machine learning models in production environments with an emphasis on scalability, reliability, monitoring, and lifecycle management. • Demonstrated expertise using agentic AI and assisted development tooling and methodologies to accelerate delivery while ensuring quality and alignment of deliverables. • End-to-end ownership of the Software Development Lifecycle (SDLC), including design, development, testing, deployment, observability, and incident response for AI/ML solutions. • Experience delivering projects for external or internal clients in a professional services or consulting environment. • Ability to break down complex AI/ML and agentic challenges into structured, actionable workstreams and drive them through to successful completion. • Demonstrated experience navigating complex, multi-stakeholder client environments, including US-based enterprises, and influencing senior and C-level stakeholders. • Strong written and verbal communication skills in English, including the ability to clearly articulate technical concepts, trade-offs, and business value. • Proven track record of building, leading, and collaborating with distributed, cross-functional engineering teams across regions. • Demonstrated ability to take extreme ownership of delivery outcomes, manage multiple priorities, and resolve high-pressure escalations with composure and rigor. • Commitment to cultivating a high-performance, feedback-driven culture centered on accountability, continuous improvement, and delivery excellence. • 4-year Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

🏖️ Benefits

• Remote-First Workplace • Medical Insurance for Self & Family • Medical Insurance for Parents • Term Life & Personal Accident • Wellness Allowance • Broadband Reimbursement • Continuous learning and growth opportunities to enhance your skills and expertise • Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content