Applied AI Solution Architect

Collaboration & Leadership

Practice & Firm Contribution

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

Experience

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

Education

Preferred Qualifications

• Preferred qualifications help candidates stand out but are not required for success in this role.
• 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.
• A Master’s or other advanced degree in data science, computer science, or a related field.

Why phData?

Benefits at phData

• 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
• phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.