ZipRecruiter

Log In

1

Vector Ai Jobs in Connecticut (NOW HIRING)

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications. * Support deployment, monitoring, and lifecycle management of AI models following MLOps ...

Deloitte

Google AI Architect

Hartford, CT

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

Agentic AI Developer Category: Software Development/ Engineering Main location: United States ... Build and manage embeddings, vector search, and semantic retrieval pipelines . Develop applications ...

Deloitte

Google AI Architect

Stamford, CT · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Deloitte

Google AI Lead Architect

Stamford, CT · On-site

$59 - $80.75/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Deloitte

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Eisneramper Llp

AI Solution Architect

Stamford, CT · On-site +1

$67.25 - $88.50/hr

Vector search, semantic search, and knowledge mining * Azure Databricks: Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks:

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... vector databases, and retrieval-augmented generation (RAG). • Strong understanding of NLP, deep learning, and model fine-tuning techniques. • Experience working with MLOps, cloud-based AI ...

Deloitte

AI Engineer Consultant

Hartford, CT · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Deloitte

AI Engineer Consultant

Stamford, CT · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Franklin Templeton

AI/ML Lead Engineer

Stamford, CT · On-site

$109K - $143K/yr

Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers Key Initiatives this role will support Advisor-Facing AI * Design and implement agents ...

Franklintempleton

AI/ML Lead Engineer

Stamford, CT · On-site

$109K - $143K/yr

Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers Key Initiatives this role will support Advisor-Facing AI * Design and implement agents ...

next page

Showing results 1-20

All JobsVector Ai JobsVector Ai Jobs in Connecticut

Vector Ai information

What is a Vector AI?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What are popular job titles related to Vector Ai jobs in Connecticut?

For Vector Ai jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Vector Ai jobs in Connecticut look for?

The top searched job categories for Vector Ai jobs in Connecticut are:

What cities in Connecticut are hiring for Vector Ai jobs?

Cities in Connecticut with the most Vector Ai job openings:

Vector Ai jobs near you

AI Architect

Newington, CT • On-site

Talent Software Services, Inc
See more jobs at Talent Software Services, Incexternal

Other

Posted 9 days ago

Job description

Title: AI Architect
Duration: 6 months
Location: Remote
Overview

The AI Architect is responsible for designing, developing, and governing enterprise-grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, data, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost-efficient, and integrated into the broader enterprise ecosystem.

Key Responsibilities
  • AI Strategy & Solution Architecture
    • Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies.
    • Design scalable, secure, and compliant automation solutions to streamline across the enterprise.
    • Architect end-to-end AI solutions including data engineering, RAG model development, model operations (MLOps), and lifecycle management.
    • Partner with business, product, and engineering teams to translate business problems into appropriate AI/ML approaches.
    • Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation.
  • Technical Leadership
    • Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability.
    • Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling.
    • Support development teams on model selection, training pipelines, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies.
    • Mentor engineers, analysts, and product teams on AI best practices.
  • Data, Integration & Platforms
    • Partner with data architects and engineering to ensure robust data pipelines, governance, feature stores, and architecture.
    • Design secure and performant integration between AI models and enterprise systems (APIs, microservices, events).
  • Governance & Compliance
    • Ensure AI solutions adhere to enterprise security standards, data privacy policies, and regulatory requirements.
    • Implement responsible AI guardrails, fairness checks, explainability frameworks, and monitoring.
    • Develop and maintain automation governance frameworks, documentation, and audit trails.
  • Operations & Optimization
    • Define MLOps / LLMOps standards including CI/CD pipelines, model monitoring, drift detection, observability, and rollback processes.
    • Drive continuous improvement of model performance, cost optimization, and operational efficiency.
    • Establish KPIs, telemetry, and feedback loops for production AI systems.
  • Collaboration & Enablement
    • Partner with IT, compliance, operations, and customer service teams to align automation initiatives with business goals.
    • Mentor and guide developers and analysts to build a center of excellence (CoE) for automation.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 5 years of experience in application development, engineering, or solution delivery roles.
  • 1 year of hands-on experience in AI/ML engineering, data science, or AI solution architecture.
  • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems).
  • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design).
  • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling.
  • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores.
  • Strong hands-on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
  • Background in RAG systems, model fine-tuning, embeddings, vector storage, and retrieval optimization.
Preferred Qualifications
  • Experience with enterprise-wide AI programs or platform buildouts.
  • Strong understanding of data governance, privacy, security, and model risk management.
  • Prior experience with large-scale transformation programs.
Location

This position is Work At Home, offering flexibility and convenience for the right candidate.

Apply