{"id":161311,"url":"https://alion.io/job/quantiphi-architect-ml-ai-researcher-2","title":"Architect ML - AI Researcher","company":{"id":6155,"name":"Quantiphi","domain":"quantiphi.com","url":"https://alion.io/company/quantiphi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":72,"open_postings":70,"ghost_share":0.471,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":164000,"max_usd":309000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":174},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"LightGBM","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Transformers","optional":false},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-21T20:01:29Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":55},"description":"While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.\nIf working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!\nAbout Quantiphi:\nQuantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.\nSince our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.\nHeadquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.\nWe’ve been recognized with:\n17x Google Cloud Partner of the Year awards in the last 8 years.\n\n3x AWS AI/ML award wins.\n\n3x NVIDIA Partner of the Year titles.\n\n2x Snowflake Partner of the Year awards.\n\nWe have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.\n\nWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.\n\nWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.\n\nBe part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.\nYour next big opportunity starts here!\nFor more details, visit:Website or LinkedIn Page.\nRole: Architect Machine Learning\nExperience Level: 10+ yrs\nWork Location: USA - Remote\nRole Overview:\nAs an ATA Machine Learning Engineer in healthcare, you'll deliver multi-geography projects, empowering healthcare organizations with data ingestion, cloud services, and DevOps. You'll collaborate with Cloud, Software, and Data Engineering teams to build platforms and solutions for digital diagnosis, software as a medical product, and AI marketplaces.\nKey Responsibilities:\nApply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems and solutions into large-scale cloud-based SaaS production environments for healthcare.\n\nDesign, build, and evaluate solutions for healthcare use cases (e.g., predictive models, summarization, semantic search), performing research, experimentation, data management, and model evaluation.\n\nDevelop high-level solution architectures, collaborating with offshore big-data engineers and decision science analysts to build, test, and assess models predicting and optimizing client business outcomes.\n\nEnsure responsible AI practices, including quality, fairness, and safety, using frameworks like LLM-as-judge, RAGAS, and LangSmith.\n\nTranslate complex insights into simple, quantifiable business impacts for clients, cultivating deep relationships by understanding their needs.\n\nLead technical discussions on architecture design and troubleshooting with clients, proactively providing solutions, and mentor senior resources/team leads.\n\nCollaborate across functions (product, clinical, data science, engineering) and with offshore delivery managers to ensure seamless communication and delivery.\n\nContribute to a collaborative team culture, sharing knowledge, and identifying sales opportunities.\n\nBasic Qualifications:\nMust have:\nPh.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI\n\nProven industry experience through multiple major product releases in a commercial SaaS environment.\n\nHands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).\n\nProficiency in Python. Proficiency in Java or other languages is helpful.\n\nProficiency with SQL and data engineering for AI/ML applications.\n\nExperience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)\n\nSolid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.\n\nExperience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.\n\nExperience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.\n\nStrong communication and collaboration skills; comfortable working on a distributed team.\n\nExperience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).\n\nLeadership qualities\nProvide thought leadership to the team and bring industry best practices to the project.\n\nAbility to lead technology teams and provide them mentorship / support to accelerate performance.\n\nAbility to handle conflicts effectively by managing internal and external stakeholders\n\nExperience in leading multiple large projects as well as a deep understanding of Agile developments\n\nEffective communication with all the stakeholders involved.\n\ncommunicate clearly about complex subjects and technical plans with technical and non technical audiences.\n\nGood to have:\nHands-on experience with statistical tools and techniques\n\nExperience with Agile/Scrum/DevOps software development methodologies.\n\nCritical eye for the quality of data and strong desire to get it right.\n\nOther Qualifications (OQs):\nEffective communication with all the stakeholders involved\n\nNeed to communicate clearly about complex subjects and technical plans\n\nAbility to mentor and groom junior members of the team and provide them with guidance and roadmap.\n\nMust also have the ability to interact with other members of the team (Juniors, Seniors, ATA, TA, BA, etc) to get their designs from concept to development\n\nKeeping various audiences in mind, engineers must write their reports in clear language accessible to all.\n\nWhat’s in it for YOU at Quantiphi:\nMake an impact at one of the world’s fastest-growing AI-first digital engineering companies.\n\nUpskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.\n\nWork where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.\n\nStay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.\n\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!","description_format":"text","description_chars":7625,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Document AI","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-08-28T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 46","filings_12m":46,"filings_prev_12m":49,"green_card_filings_12m":0,"median_offered_wage_usd":122500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":25}],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.659,"p_room":0.45,"age_days":55,"expected_fill_days":32,"reasons":["conf:10","velocity","win:tail"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/quantiphi-architect-ml-ai-researcher-2","json_url":"https://alion.io/job/quantiphi-architect-ml-ai-researcher-2.json","meta":{"generated_at":"2026-10-22T06:28:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1421,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6155},"rest":"https://alion.io/mcp/rest/get_company?id=6155"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquantiphi-architect-ml-ai-researcher-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fquantiphi-architect-ml-ai-researcher-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fquantiphi-architect-ml-ai-researcher-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/quantiphi-architect-ml-ai-researcher-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquantiphi-architect-ml-ai-researcher-2"}]}