{"id":2422982,"url":"https://alion.io/job/phdata-applied-ai-solution-architect","title":"Applied AI Solution Architect","company":{"id":11321,"name":"phData","domain":"phdata.io","url":"https://alion.io/company/phdata","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":52000,"period":"year","method":"role_seniority_country_cell","sample_n":34},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-06-18T09:58:02Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-13T21:43:14Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":117},"description":"JoinphData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.\nWe're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.\nWhy phData?\nSnowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year\nAWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network\n 2025 Fivetran Partner of the Year (4th consecutive year)\n 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status\n2026 KNIME Customer Excellence Partner of the Year\n Preferred Partner in the Anthropic Claude Partner Network\n#1 Partner in Snowflake Advanced Certifications\n600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)\nRecognized as an award-winning workplace in the US, India and LATAM\nWe are looking for an Agentic AI Solutions Architect to join our Applied AI team in our Agentic Delivery Center. In this role, you will lead the architecture and hands-on implementation of high-impact, production-ready agentic AI solutions that reason, retrieve, act, and integrate with enterprise systems to deliver measurable business outcomes. You will partner closely with clients, forward-deployed engineers, data engineers, and platform teams to design reusable accelerators, set technical standards, and deliver high-quality engagements that drive real business results.\nKey Responsibilities\nAgentic Architecture & Client Delivery\nOwn and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries.\nDesign 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.\nTranslate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices.\nArchitect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment.\nEnsure engagements are delivered on time, within scope, and with measurable business value for clients.\nCollaboration & Leadership\nCollaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients.\nDesign and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients.\nEstablish the foundation of our India Agentic Delivery Center, by developing patterns, tooling, and ways of working that scale.\nEngage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements.\nEnsure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards.\nPartner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions.\nPractice & Firm Contribution\nContribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering.\nRepresent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.\nAdditional Responsibilities\nAct as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.\nMentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.\nHelp define and refine practice standards, reusable assets, and delivery frameworks.\nAbout You\nYou 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,\ninfrastructure, 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.\nRequired Qualifications\nExperience\n6+ 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.\nTechnical / Functional Skills\nHands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling\nExperience 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)\nExperience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps)\nHands-on experience in modern programming languages, such as Python, including developing APIs\nDeep 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\nComplete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations\nDemonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality\nStrong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.\nConsulting / Delivery Skills\nExperience delivering projects for external or internal clients in a professional services or consulting environment, ideally in a fixed-bid capacity.\nAbility to break down ambiguous problems into structured, actionable steps and drive them through to completion.\nExcellent written and verbal communication English., with experience presenting technical solutions to clients and facilitating discussions with both technical and business stakeholders.\nCollaboration & Ownership\nDemonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.\nProven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.\nEducation\nBachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.\nPreferred Qualifications\nPreferred qualifications help candidates stand out but are not required for success in this role.\nExperience building reusable accelerators, modular codebases, or products deployed across multiple clients.\nIndustry experience building AI/ML solutions in life sciences, retail, financial services, or manufacturing\nPrior experience working in global or remote teams and partnering across US, LATAM, and/or India.\nContributions to open source technology stacks, technical communities, speaking, or writing related to AI and agents are a plus.\nA Master’s or other advanced degree in data science, computer science, or a related field.\nWhy phData?\nImpactful Work: Partner with leading organizations on meaningful data & AI initiatives.\nCollaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.\nGrowth Opportunities: Access to challenging projects, mentorship, and structured development pathways.\nValues-Driven: We prioritize doing the right thing for our clients, our teams, and our community.\nBenefits at phData \nRemote-First Workplace\nMedical Insurance for Self & Family\nMedical Insurance for Parents\nTerm Life & Personal Accident\nWellness Allowance\nBroadband Reimbursement\nContinuous learning and growth opportunities to enhance your skills and expertise\nOther benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content\nphData 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. 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