Applied AI Solutions Architect

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Key Responsibilities

Agentic Architecture & Client Delivery

• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries.
• Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format.
• Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices.
• Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients.
• Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients.
• Establish the foundation of our India Agentic Delivery Center, by developing patterns, tooling, and ways of working that scale.
• Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements.
• Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions.

Practice & Firm Contribution

• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Additional Responsibilities

• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.

About You

You are a technical leader and client-focused consultant who enjoys turning complex, ambiguous problems into robust, production-ready agentic systems. You are opinionated and prescriptive about how good agents are built, comfortable working across data, infrastructure, and application layers, and energized by a zero-to-one environment where you are the technical bar. You thrive in an outcomes-driven environment, partnering with clients to engineers to design and build architectures that are performant, secure, scalable, and maintainable.

Required Qualifications Experience

• 6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions, including recent hands-on experience building LLM-powered or agentic applications.

Technical / Functional Skills

• Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling
• Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP)
• Experience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps)
• Hands-on experience in modern programming languages, such as Python, including developing APIs
• Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production
• Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations
• Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality
• Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services or consulting environment, ideally in a fixed-bid capacity.
• Ability to break down ambiguous problems into structured, actionable steps and drive them through to completion.
• Excellent written and verbal communication English., with experience presenting technical solutions to clients and facilitating discussions with both technical and business stakeholders.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.
• Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
• Experience building reusable accelerators, modular codebases, or products deployed across multiple clients.
• Industry experience building AI/ML solutions in life sciences, retail, financial services, or manufacturing
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source technology stacks, technical communities, speaking, or writing related to AI and agents are a plus.

Education

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.