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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 clear 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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