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Quantiphi

Engagement Manager(AI/ML Project)

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Job Description

About the Company: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

  • Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 3200+ data science professionals across 11 global offices
  • Winner of 3X NVIDIA AI Partner of the year award
  • Winner of the 13X Google Cloud Partner of the Year award including Machine Learning, Breakthrough and Social Impact partner
  • Winner of 3X AWS AI/ML Partner of the Year award
  • Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more

Roles & Responsibilities:

Program Governance:

  • Manage project delivery, the team, customer relations, and deliver project scope successfully with high quality, within approved timelines and budget
  • Support Project estimation process along with client stakeholders in defining scope, contribute in preparing statement of work including tasks, deliverables, milestones, resources and estimated cost
  • Accurate tracking of forecasts, resource utilization, budgeting and achievement of planned or better profitability by finding avenues to explore AI tools for enhancing developer Productivity
  • Identify relevant delivery best practices and imbibe the same in projects
  • Manage project delivery, team and ensure positive customer relations with consistently high customer satisfaction score
  • Collaborate with our diverse and global teams to deliver committed results to our clients

Technical Governance:

  • Drive AI-driven engagements, ensuring alignment with business goals, technical feasibility, and governance frameworks.
  • Good Understanding of LLM lifecycle, RAG and Agentic AI solutions
  • Develop and lead strategic roadmaps for LLM-based solutions, including RAG (Retrieval-Augmented Generation), Agentic RAG, and Agent-driven workflows.
  • Manage cross-functional teams, including ML engineers, data scientists, software developers, and consultants to deliver AI solutions.
  • Drive AI governance strategies, ensuring compliance, fairness, and responsible AI implementation.
  • Collaborate with client and internal stakeholders to define technical architecture, infrastructure requirements, and optimization techniques
  • Act as Engineering Managers (Technology consultants) along with the technical leads to develop roadmap for LLMOps or improvements in Agentic workflow lifecycle
  • Proven technical ability to understand the impact of technical changes, and to articulate high-level technical solutions to address business problems

Program Management Skills:

  • Strong operational and stakeholder management skills.
  • Project Management ensuring customer success & account growth
  • Maintaining positive work environment & ensure career growth of the team members
  • Tight Delivery execution and reporting to management team at client organization and at Quantiphi
  • Team leading experience and ability & experience to work as a associate project lead
  • Proven ability to handle multiple projects (Program) efficiently
  • Ability to run the projects adopting Agile methodology.
  • Working experience with Project Management Tools such as JIRA
  • Strong working experience with Google Workspace tools (G-Slides, G-Sheets, G-doc etc)

Technical Skills:

Must Have:

  • Understanding of Gen AI and Agentic AI landscape
  • Working understanding of Cloud - GCP/AWS/Azure
  • Working Understanding of end-to-end LLM Lifecycle and Agentic Workflows to orchestrate innovative workloads
  • Understanding of RAG (Retrieval Augmented Generation) systems
  • Understanding of Prompt Engineering and LLM Fine tuning techniques
  • Understanding of Agentic Orchestration frameworks such as LangGraph and LangChain

Good to have:

  • Strong experience in managing small to medium scale AI projects leveraging LLMs(e.g., Llama, GPT, Claude, Mistral, Gemini)
  • Exposure to PEP-8 Python coding guidelines and experience in leading code quality governance
  • Exposure to Linting Tools such as Sonarcube for governing Static code tool check
  • Certifications: GCP Generative AI Leader and GCP Cloud Digital Leader

Behavioral Skills:

  • Excellent problem-solving skills, with a demonstrated ability to identify issues and solve them quickly
  • Excellent Communication, presentation & storytelling skills
  • Strong conflict resolution skills and organizational skills to be able to coordinate complicated projects even with enabling function teams (IT, Legal etc)
  • Professional demeanor, ability to interact with and lead diverse teams throughout client and internal Quantiphi and communicate with client project managers, technical leads and senior leadership

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About Company

Job ID: 147493471