Key Responsibilities
Agentic Architecture & Client Delivery
Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries.
Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format.
Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices.
Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment.
Ensure engagements are delivered on time, within scope, and with measurable business value for clients.
Collaboration & Leadership
Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients.
Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients.
Establish the foundation of our India Agentic Delivery Center, by developing patterns, tooling, and ways of working that scale.
Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements.
Ensure high quality in 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, improve delivery, and standardize patterns for deploying and operating AI solutions.
Practice & Firm Contribution
Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering.
Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.
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
You are a technical leader and client-focused consultant who enjoys turning complex, ambiguous problems into robust, production-ready agentic systems. You are opinionated and prescriptive about how good agents are built, comfortable working across data,
infrastructure, and application layers, and energized by a zero-to-one environment where you are the technical bar. You thrive in an outcomes-driven environment, partnering with clients to engineers to design and build architectures that are performant, secure, scalable, and maintainable.
Required Qualifications
Experience
6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions, including recent hands-on experience building LLM-powered or agentic applications.
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
Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.
Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
Education
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.
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?
Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
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.
