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Applied AI Solutions Architect

phData

Bengaluru

6+ years

1 day ago

$45.8K–59.0K/yr

Full-time

Remote

Skills Required

LLM

RAG

LangChain

LlamaIndex

LLMOps

agentic architectures

Prompt Engineering

AgentOps

multi-agent patterns

memory

planning

MCP

context engineering

tool/function calling

evaluation strategies

Description

phData is a remote-first data and AI consultancy partnering with industry leaders to solve complex data and AI challenges. They seek an Applied AI Solutions Architect to lead architecture and implementation of agentic AI solutions delivering measurable business outcomes.

Company: phData

Role: Applied AI Solutions Architect

Location: Remote

Experience

- 6+ years of experience as 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
- Experience delivering projects for external or internal clients in a professional services or consulting environment
- Experience working with distributed and cross-functional teams across US, LATAM, and India
- 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 partnering across US, LATAM, and/or India

Qualification

- Bachelor's degree in Computer Science or related technical field or equivalent practical experience

Responsibilities

- Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients




- Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform
- Translate ambiguous business problems into explicit agentic solution designs
- Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies
- Ensure engagements are delivered on time, within scope, and with measurable business value
- Collaborate to shape architectural standards for agentic capabilities and accelerators
- Establish foundation of India Agentic Delivery Center by developing scalable patterns, tooling, and ways of working
- Engage with cross-functional partners including engineers, data scientists, platform/DevOps engineers, and business stakeholders
- Ensure high quality 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 and standardize deployment patterns
- Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering
- Communicate clearly with technical and non-technical stakeholders

Additional Responsibilities

- Act as trusted advisor to senior client stakeholders shaping roadmaps and guiding strategic decisions
- 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
- Represent phData with professionalism in all interactions

Nice To Have

- Contributions to open source technology stacks, technical communities, speaking, or writing related to AI and agents

More Skills

Retrieval frameworks (RAG), LLM orchestration frameworks (LangChain, LlamaIndex), Memory, planning, protocols (MCP), Evaluation, guardrail, and observability strategies for LLM and agent systems (LLMOps/AgentOps), Python programming, API development, Cloud-native AI/ML platforms (AWS Bedrock, SageMaker, Azure AI/ML, Snowflake Cortex), Software development lifecycle, AI-assisted development tooling, SQL query writing, debugging, optimization

Prepare for this role

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Top 20 Prompt Engineering Questions

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Top 50 Prompt Engineering Interview Questions

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Top 10 RAG Quick-Prep Questions

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