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Vector Ai Jobs in Delaware (NOW HIRING)

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own ...

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns. * Own ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Exposure to RAG concepts or vector databases. Awareness of Agile, Lean, or XP delivery methodologies. Ability to identify highvalue AI use cases and support ideation and scoping. Coursework ...

AI is the primary builder of the Fabric, not merely its consumer. This leader deploys agents that ... Lakehouse, vector, and graph retrieval foundations underpinning grounded agent behavior. * Agentic ...

AI is the primary builder of the Fabric, not merely its consumer. This leader deploys agents that ... Lakehouse, vector, and graph retrieval foundations underpinning grounded agent behavior. * Agentic ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... search, agentic search, vector search, and full-text search architectures. * Demonstrated ...

Applied AI Solutions Analyst

Wilmington, DE · On-site +1

$93K - $169K/yr

... Vector Store(s) Enterprise Data Platform Agentic Workflows MCP REST APIs Azure iManage SharePoint ... role - Demonstrated AI building experience - delivered AI tools, workflows, or agents ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Excellent knowledge of modern Vector and Graph databases * Excellent knowledge of Redis cache or ...

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Excellent knowledge of modern Vector and Graph databases * Excellent knowledge of Redis cache or ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Excellent knowledge of modern Vector and Graph databases * Excellent knowledge of Redis cache or ...

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Vector Ai information

What are the key skills and qualifications needed to thrive as a Vector AI Engineer, and why are they important?

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 is a Vector AI and what do they do?

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 popular job titles related to Vector Ai jobs in Delaware? For Vector Ai jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Vector Ai jobs in Delaware look for? The top searched job categories for Vector Ai jobs in Delaware are:
What cities in Delaware are hiring for Vector Ai jobs? Cities in Delaware with the most Vector Ai job openings:
Infographic showing various Vector Ai job openings in Delaware as of June 2026, with employment types broken down into 68% Full Time, 20% Part Time, and 12% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Lead AI Engineer

Photon

Newark, DE • On-site

$100K - $132K/yr

Other

Posted 13 days ago


Job description

Hi,

Hope you are doing well,

Myself Mankar from Photon and I have a position with our direct client, please send me your updated resume if you are interested and you can connect me through

Lead AI Engineer

Newark, DE - Onsite

Responsibilities

Owns end-to-end delivery of how the organization builds LLM-powered applications: SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the calls on which LLMs to use for which use cases and sets the observability/cost discipline around AI systems, but is measured on shipped outcomes runs the offshore team day-to-day and stays hands-on to unblock delivery risk.

Description for Internal Candidates

Key Responsibilities

  • Own delivery of LLM API integration and SDK patterns used across applications.
  • Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.
  • Define standards for advanced prompt engineering and context window management.
  • Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.
  • Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.
  • Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) critical in a financial-services context.
  • Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.
  • Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.
  • Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.
  • Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications

  • 6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).
  • Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.
  • Strong, hands-on Python skills at an architectural/systems level.
  • Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.
  • Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.
  • Deep expertise in prompt engineering and context window management at scale.
  • Proven design experience with RAG systems, including vector database architecture and knowledgebase design.
  • Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).
  • Strong understanding of guardrails design content safety, PII protection, compliance controls for AI outputs.
  • Experience defining evaluation frameworks and integrating AI testing into CI/CD.
  • Proven ability to design for latency, observability, and cost management of AI systems in production.
  • Financial-services or regulated-industry experience strongly preferred given compliance/guardrail stakes.
  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications

  • Direct experience with specific frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).
  • Experience with AWS Bedrock or comparable managed LLM platforms.
  • Contributions to or deep familiarity with MCP (Model Context Protocol) implementations.
  • Experience building internal LLM gateways.
  • Familiarity with responsible-AI/model-risk-management frameworks used in financial services.