AI Architect - R01570927

Brillio 2
Edison, NJ
Hybrid

Who this role is best for

Best suited to candidates with hands-on AI/ML experience and a background in data science working in hybrid settings with a focus on healthcare or life sciences.

Best fit for

  • Candidates with hands-on AI/ML experience and a background in data science
    — “Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems.”
  • Professionals with exposure to Generative AI and emerging AI frameworks
    — “Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.”
  • Professionals with a background in life sciences or healthcare domains
    — “With Lifesciences experience preferred”

Things to consider

  • Hybrid work arrangement requires a minimum of 3-4 days on-site per week
    — “Hybrid with min 3-4 days onsite per week”
  • Strong emphasis on deploying AI solutions to solve business problems
    — “deployment of machine learning solutions to solve business problems.”

How to stand out

  • Emphasize experience with model deployment and AI application lifecycle management in your resume
    — “Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.”
  • Highlight your work with structured and unstructured data in your interview responses
    — “Ability to work with structured and unstructured data, build scalable AI/ML solutions”
  • Showcase your knowledge of Generative AI and prompt engineering in your application materials
    — “Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering”
  • Demonstrate your ability to translate business requirements into data-driven outcomes
    — “collaborate with cross-functional teams to translate business requirements into data-driven outcomes.”
  • Include experience with data warehousing and API integrations in your profile
    — “Knowledge of data warehousing, data engineering concepts, and API integrations.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and deployed AI/ML solutions to solve business problems
  • Worked on Generative AI concepts and emerging AI frameworks
Typical background
PhD or Master's in Computer Science, Data Science, or related fieldExperience in AI/ML research and development

Skills & requirements

Required

Data ScienceMachine LearningArtificial IntelligenceSQLPythonData AnalysisFeature EngineeringModel DevelopmentModel EvaluationModel DeploymentGenerative AILarge Language Models (llms)Prompt EngineeringRetrieval-augmented Generation (rag)AI AgentsMCPScalable Ai/ml SolutionsCross-functional CollaborationProblem-solvingAnalytical Skills

Preferred

Snowflake Data PlatformMlopsModel DeploymentModel MonitoringAI Application Lifecycle ManagementData WarehousingData EngineeringAPI IntegrationsGenai Application DevelopmentVector DatabasesSemantic SearchAI Orchestration FrameworksLifesciences Experience

Stack & domain

Data ScienceMachine LearningArtificial IntelligenceSQLPythonSnowflake Data PlatformMlopsData WarehousingData EngineeringAPI IntegrationsGenai Application DevelopmentVector DatabasesSemantic SearchAI Orchestration FrameworksProblem-solvingAnalyticalCommunicationHealthcare

About the role

Original posting from Brillio 2 via Lever

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

AI Architect

Location: Plainsboro, NJ

work Type: Hybrid with min 3-4 days onsite per week

Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL)

Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems.

Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.

Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.

Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.

Preferred Qualifications

Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services is prefered

Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.

Knowledge of data warehousing, data engineering concepts, and API integrations.

Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.

With Lifesciences experience preferred

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Source: Brillio 2 careers (Lever)

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