{"id":2422976,"url":"https://alion.io/job/phdata-sr-machine-learning-engineer","title":"Sr. Machine Learning Engineer","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":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":22000,"max_usd":48000,"period":"year","method":"role_seniority_country_cell","sample_n":34},"experience_years_min":4,"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":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","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":"2026-06-25T08:19:01Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-14T14:20:10Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":110},"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\nJoin phData, a dynamic and innovative leader in the modern agentic era. We don’t just modernize data stacks-we build Intelligence Platforms and AI applications that help clients grow, innovate, and compete. Enterprises are no longer buying “data work”; they are buying intelligence outcomes, and phData is focused on being the partner that builds the platform and delivers those outcomes with AI agents, analytics, and transformed processes. \nWe think of the Intelligence Platform as more than a data warehouse with dashboards-it’s an AI-native operating layer that turns a company’s data, knowledge, and processes into prescriptive, closed-loop decisions that both humans and agents can act on. It extends a modern data platform with semantic models, AI agents, and workflow automation that plug directly into core systems like CRM, ERP, HR, and finance, so intelligence shows up in how work is prioritized, routed, and executed-not just in reports.\nphData is a remote-first global company with employees based in the United States, Latin America, and India. \nWe celebrate the cultures of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and give you the autonomy to deliver meaningful results.\nRole Overview\nWe are looking for an Agentic AI Solutions Engineer to join our Applied AI team in our Agentic Delivery Center. In this role, you will design, build, and operationalize 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, AI architects, 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 Engineering & Client Delivery\nBuild and operationalize end-to-end agentic AI solutions, like RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients\nTranslate solution designs and business requirements into clean, well-tested production-grade code aligned with phData methodologies, standards, and best practices.\nBuild 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\nContribute hands-on to reusable agentic accelerators and reference implementations aligned with the Intelligence Platform that can be deployed across multiple clients.\nHelp establish engineering patterns, tooling, and ways of working as part of the zero-to-one buildout of the India delivery center.\nCollaborate with cross-functional partners, including forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders to deliver successful client engagements.\nEnsure high-quality deliverables through code reviews, technical documentation, automated testing, and adherence to security and governance standards.\nPartner with practice and account leaders to identify opportunities to expand engagements, improve delivery patterns, and standardize AI deployment approaches.\nPractice & Firm Contribution\nContribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training for colleagues on best practices for AI engineering.\nRepresent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.\nAbout You\nYou are a hands-on AI learning engineer and collaborative problem solver who enjoys solving ambiguous business problems with AI, creating robust, production-ready solutions. You are comfortable working across the stack-from data pipelines and infrastructure to APIs and monitoring-and partnering directly with forward-deployed engineers, data engineers, platform engineers, and business stakeholders. You thrive in an outcomes-driven environment and want to help build something from the ground up.\nRequired Qualifications\nExperience\n4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building and deploying AI/ML solutions to production.\nRecent hands-on experience with 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, including writing, debugging, and optimizing complex and distributed queries.\nConsulting / Delivery Skills \nExperience delivering projects for external or internal clients in a professional services, product, or consulting environment.\nAbility to break down complex problems into structured, actionable steps and drive them through to completion, ideally in a fixed-bid capacity.\nStrong written and verbal communication skills in English, including the ability to explain technical concepts to both technical and non-technical audiences.\nProven experience presenting solutions and working directly with internal and/or external clients.\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.\nComfort working in client environments, quickly understanding new systems, and adapting solutions to fit existing architectures and processes.\nEducation \nBachelor’s degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience preferred\nPreferred Qualifications\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 projects, technical communities, speaking engagements, or technical 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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