Applied AI Solution Architect

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

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 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 • Translate ambiguous business problems into clear agentic solution designs • Architect production-grade agents emphasizing reliability, scalability, security, observability, evaluation, and guardrails • Ensure engagements are delivered on time, within scope, and with measurable business value • Shape architectural standards for building and deploying agentic capabilities and accelerators • Establish the foundation of the India Agentic Delivery Center by developing scalable patterns, tooling, and ways of working • Collaborate with forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders • Ensure quality through code reviews, documentation, testing, governance, and adherence to security and compliance standards • Partner with practice and account leaders to expand engagements, improve delivery, and standardize AI deployment and operations • Contribute to IP development, accelerators, reference architectures, templates, playbooks, and AI engineering training • Act as a trusted advisor to senior client stakeholders, shaping roadmaps and strategic decisions • Mentor and coach team members • Define and refine practice standards, reusable assets, and delivery frameworks

🎯 Requirements

• 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 with LLM-powered or agentic applications • Hands-on understanding of Large Language Models, agentic architectures, retrieval frameworks (RAG), prompt design, context engineering, and tool/function calling • Experience with LLM orchestration frameworks such as LangChain and LlamaIndex, plus multi-agent patterns, memory, planning, and protocols such as MCP • Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems (LLMOps/AgentOps) • Hands-on experience with modern programming languages such as Python, including API development • Deep expertise in cloud-native AI/ML platforms such as AWS Bedrock, SageMaker, Azure AI/ML, and Snowflake Cortex, with production deployment experience • Complete software development lifecycle experience covering design, documentation, implementation, testing, deployment, and ongoing operations • Demonstrated use of AI-assisted development tooling • Strong working knowledge of SQL and ability to write, debug, and optimize complex distributed queries • Experience delivering projects for external or internal clients in professional services or consulting, ideally fixed-bid • Ability to break down ambiguous problems into structured, actionable steps • Excellent written and verbal communication in English, including presenting technical solutions to clients and facilitating technical and business discussions • Ability to work effectively with distributed, cross-functional teams across the US, LATAM, and India • Proven ownership, prioritization, and delivery of high-quality work with minimal supervision • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience is preferred, not required

🏖️ 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 • Paid certifications • Professional development allowance • Bonuses for creating company-approved content • Challenging projects, mentorship, and structured development pathways • Supportive, high-performing global team • Transparency, autonomy, and continuous improvement