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Applied AI Solution Architect

1 week, 3 days ago
India
Full-time
Senior
Solutions Architect
Software Development
AWS Azure dbt GCP LLM Python Snowflake SQL
Apply Now
phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K
View All Jobs 32

Description

  • Own end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients.
  • Design and build reusable agentic accelerators and reference architectures that can be deployed across multiple clients.
  • Translate ambiguous business problems into clear solution designs aligned to phData’s Intelligence Platform, methodologies, and standards.
  • Architect production-grade agents with attention to reliability, scalability, security, observability, evaluation, and guardrails.
  • Ensure client engagements are delivered on time, within scope, and with measurable business value.
  • Collaborate with forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders.
  • Help shape architectural standards for how agentic capabilities and accelerators are built and deployed.
  • Develop patterns, tooling, and ways of working to help establish the India Agentic Delivery Center.
  • Contribute internal IP such as accelerators, templates, playbooks, reference architectures, and AI engineering training.
  • Act as a trusted advisor to senior client stakeholders and mentor team members.

Requirements

  • 6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions.
  • Recent hands-on experience building LLM-powered or agentic applications.
  • 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 such as LangChain or LlamaIndex.
  • Experience with 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 Python and API development.
  • Deep expertise in cloud-native AI/ML platforms such as AWS Bedrock and SageMaker, Azure AI/ML, or Snowflake Cortex.
  • Strong working knowledge of SQL, including writing, debugging, and optimizing complex and distributed queries.
  • Experience delivering projects in a professional services or consulting environment, ideally in a fixed-bid capacity.
  • Excellent written and verbal communication in English, including presenting technical solutions to clients.
  • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.
  • Preferred: experience building reusable accelerators, modular codebases, or products deployed across multiple clients.
  • Preferred: industry experience in life sciences, retail, financial services, or manufacturing.
  • Preferred: prior experience working in global or remote teams across the US, LATAM, and/or India.
  • Preferred: contributions to open source, technical communities, speaking, or writing related to AI and agents.
  • Preferred: master’s or other advanced degree in data science, computer science, or a related field.

Benefits

  • Remote-first workplace.
  • Medical insurance for self and family.
  • Medical insurance for parents.
  • Term life and personal accident coverage.
  • Wellness allowance.
  • Broadband reimbursement.
  • Paid certifications and continuous learning opportunities.
  • Professional development allowance and bonuses for company-approved content creation.

Interested in this position?

Apply directly on the company website

Apply Now

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