{"id":161313,"url":"https://alion.io/job/quantiphi-technical-program-manager-3","title":"Technical Program Manager","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":70,"open_postings":71,"ghost_share":0.493,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Canada"],"countries":["CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":161000,"max_usd":283000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":207},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Jira","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Vertex AI","optional":false},{"name":"LLM","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"QLoRA","optional":true},{"name":"Scrum","optional":true},{"name":"SFT","optional":true}],"status":"live","first_seen_at":"2025-10-01T00:00:00Z","employer_posted_date":"2025-10-01","last_verified_at":"2026-10-15T23:44:18Z","board_verified":true,"closed_at":null,"days_open":380,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":380},"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 has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:\n17x Google Cloud Partner of the Year awards in the last 8 years.\n3x AWS AI/ML award wins.\n3x NVIDIA Partner of the Year titles.\n2x Snowflake Partner of the Year awards.\nWe have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.\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.\nWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.\nBe part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!\nFor more details, visit:WebsiteorLinkedIn Page.\nRoles and Responsibilities:\nDefine and drive the Gen AI COE roadmap, ensuring alignment with business objectives.\nDevelop and execute project plans for AI infrastructure setup, fine-tuning open-source LLMs, Q&A bot UI, and natural language querying.\nEstablish and track KPIs, SLAs, and success metrics for AI-driven solutions.\nEnsure on-time delivery, scope adherence, and risk mitigation in AI projects.\nLead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution.\nAct as a trusted advisor to enterprise clients, ensuring continuous value delivery and adoption of Gen AI solutions.\nIdentify opportunities for expansion and additional AI services.\nManage stakeholder relationships and set clear expectations for AI project outcomes.\nFacilitate Agile ceremonies and collaborate with engineering, MLOps, and product teams for seamless AI development.\nCoordinate infrastructure provisioning, model deployment, and performance optimization with DevOps.\nMaintain and refine technical documentation, backlogs, and sprint reports.\nOversee AI model deployment on cloud platforms (AWS, GCP, Azure) ensuring scalability, security, and cost optimization.\nGuide teams on AI pipeline automation, CI/CD for ML models, and ML governance best practices.\nEnsure regulatory compliance and data privacy adherence in AI-driven HCLS solutions.\nRequired Skills:\nBachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related technical field.\n10+ years in technical program management, AI/ML product delivery, or cloud-based AI solutions.\nDeep understanding of AI/ML infrastructure (training & inference).\nProficiency in cloud AI platforms (AWS SageMaker or GCP Vertex AI or Azure ML).\nKnowledge of natural language processing (NLP), prompt engineering, RAG, and Gen AI architectures.\nProven ability to lead large-scale AI/ML projects with cross-functional teams.\nStrong stakeholder management and ability to translate AI concepts into business impact.\nExpertise in Agile methodologies, Jira, and backlog management.\nExperience managing budgets, contracts, and vendor relationships in AI/ML projects.\nExcellent problem-solving, communication, and leadership skills.\nAbility to manage uncertainty in AI research & development.\nStrong analytical mindset with a customer-first approach.\nPreferred Skills:\nPrior experience in building AI COEs or AI strategy teams.\nScrum Master certification or PMP certification.\nExperience with LLM fine-tuning (SFT, LoRA, QLoRA) and Gen AI use cases.\nStrong grasp of MLOps best practices, AI observability, and model deployment strategies.\nWhat is in it for you:\nBe part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.\nStrong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.\nExposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.\nAccess to state-of-the-art GPU infrastructure on the cloud and on-premise.\nBe part of the fastest-growing AI-first digital transformation and engineering company in the world.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!","description_format":"text","description_chars":4887,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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