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Applied AI Solutions Architect

3 weeks, 1 day ago
India
Full-time
Senior
Solutions Architect
Software Development
AWS Machine Learning 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 31

Description

  • Own end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients.
  • Design and build reusable agentic accelerators, reference architectures, templates, and delivery frameworks.
  • Translate ambiguous business problems into actionable solutions aligned with phData’s Intelligence Platform and standards.
  • Architect reliable, scalable, secure, observable, and evaluable production agent systems with appropriate guardrails.
  • Partner with engineers, data scientists, platform teams, and business stakeholders to deliver high-quality engagements on time and within scope.
  • Establish scalable patterns, tooling, and ways of working for the India Agentic Delivery Center.
  • Ensure delivery quality through code reviews, documentation, testing, governance, and security compliance.
  • Advise senior client stakeholders, shape technical roadmaps, and identify opportunities to expand or standardize engagements.
  • Mentor team members and contribute to internal AI engineering initiatives, training, and intellectual property development.

Requirements

  • 6+ years of experience as an AI, machine learning, software, or data engineer building and deploying production AI/ML solutions, including recent LLM or agentic application experience.
  • Hands-on knowledge of LLMs, agentic architectures, RAG, prompt design, context engineering, and tool or function calling.
  • Experience with orchestration frameworks such as LangChain or LlamaIndex, multi-agent patterns, memory, planning, and protocols such as MCP.
  • Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems.
  • Proficiency in modern programming languages such as Python and experience developing APIs.
  • Expertise with cloud-native AI/ML platforms such as AWS Bedrock, SageMaker, Azure AI/ML, or Snowflake Cortex, including production deployment.
  • Full software development lifecycle experience, including design, documentation, implementation, testing, deployment, and operations.
  • Working knowledge of SQL, including writing, debugging, and optimizing complex distributed queries.
  • Experience delivering client projects in consulting or professional services, preferably in fixed-bid engagements.
  • Strong English communication, client presentation, problem-solving, ownership, and cross-functional collaboration skills.
  • Experience building reusable accelerators or modular products for multiple clients; industry experience in life sciences, retail, financial services, or manufacturing is preferred.
  • Bachelor’s degree in computer science or a related technical field, or equivalent practical experience, preferred.
  • Experience with global or remote teams, AI-assisted development tools, open-source contributions, technical communities, speaking, or writing is a plus.

Benefits

  • Remote-first work environment with teams across the United States, Latin America, and India.
  • Real ownership and autonomy over work in an outcomes-driven organization.
  • Inclusive, equal-opportunity workplace committed to diversity and accommodation.
  • Opportunities to contribute to training, mentorship, reusable intellectual property, and technical practice development.

Interested in this position?

Apply directly on the company website

Apply Now

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