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Vector Ai Jobs (NOW HIRING)

Newt Global

Data Engineer - Google Cloud Platform

Dallas, TX · On-site

$113K - $136K/yr

Hands on implementation experience in vectorDB ( Elastics Search / Spanner / Vector.AI etc) will be plus * Experience in graphDB and graphQL on Neo4J / spanner graph for traversals. * Knowledge of ...

Futran Tech Solutions Pvt. Ltd.

GenAI Vector DB Engineer

$117K - $140K/yr

Familiarity with machine learning and AI concepts related to vector data. * Experience with cloud-based database solutions. * Proven experience in designing and implementing vector databases, with a ...

RiseIT Solutions

AI Engineer

Cincinnati, OH · On-site

Develop prompt workflows, orchestration pipelines, and vector search solutions. * Integrate LLMs with APIs, databases, and enterprise platforms. * Implement AI governance, safety, compliance, and ...

Indicium AI

AI Engineers - USA

New York, NY · On-site

$134K - $176K/yr

Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. * Create evaluation frameworks to measure and monitor system performance ...

Indicium AI

AI Engineers - USA

New York, NY · On-site

$134K - $176K/yr

Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. * Create evaluation frameworks to measure and monitor system performance ...

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How much do vector ai jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for vector ai in the United States is $15.16, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $17.55 per hour, depending on experience, location, and employer.

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.
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Vector Ai jobs near you
Agentic AI Frontier Engineer - Associate Director - 68938091

Agentic AI Frontier Engineer - Associate Director - 68938091

Cognizant Technology Solutions

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants

Job description

About the role
As an Agentic AI Frontier Engineer, you'll lead the end-to-end architecture, design, and engineering of Agentic and Generative AI solutions for enterprise clients - turning complex business problems into scalable, secure, and responsible AI architecture built on LLMs, multi-agent systems, orchestration frameworks, and cloud-native platforms.
This high-visibility role sits at the center of Cognizant's three-vector AI strategy: unlocking productivity, scaling AI adoption from pilots to enterprise-wide impact, and leading agent-led transformation. You'll help shape how large enterprises move beyond experimentation to build, deploy, and govern intelligent systems at scale.
In this role, you'll partner with business stakeholders, product owners, data scientists, engineers, and security teams to embed autonomous decision-making, human-in-the-loop controls, and Responsible AI principles across the solution lifecycle.
In this role, you will:
Agentic & Gen AI Frontier Engineers
  • Architect multi-agent systems capable of autonomous task planning, execution, reflection, and escalation within defined harnesses and guardrails
  • Design end-to-end Agentic & Gen AI architectures, including LLM selection, agent orchestration, memory, tools, and human oversight mechanisms
  • Define architectures covering data ingestion, vector stores, prompt engineering, retrieval-augmented generation (RAG), agent workflows, APIs, and integration layers

Responsible & Ethical AI
  • Embed Responsible AI principles including fairness, explainability, transparency, human oversight, blast radius, and kill-switch mechanisms
  • Ensure compliance with AI governance standards, enterprise security policies, and regulatory frameworks
  • Guide teams on agent behaviour constraints, risk mitigation, and outcome monitoring

Delivery & Stakeholder Engagement
  • Translate business use cases into AI solution blueprints, reference architectures, and implementation roadmaps
  • Support pre-sales, RFPs, solutioning, and deal credentialization by articulating Agentic AI value propositions
  • Provide technical leadership to delivery teams across PoCs, pilots, and production deployments

Thought Leadership & Innovation
  • Stay current with Generative AI, Agentic AI frameworks, LLM advancements, and industry trends
  • Contribute to internal accelerators, reusable assets, and best practices
  • Mentor architects and engineering teams on GenAI and agent-based system design

Work model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we support a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • 10+ years of experience in enterprise architecture, frontier engineering, AI engineering, or related technology leadership roles, with recent focus on Generative AI and Agentic AI.
  • Hands-on knowledge of large language models, prompt engineering, retrieval-augmented generation, vector databases, agentic workflows, and agent orchestration frameworks.
  • Experience designing AI, machine learning, or GenAI systems on hyperscaler platforms such as Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
  • Strong understanding of API-driven architectures, microservices, event-driven systems, cloud-native platforms, containers, orchestration, MLOps, and LLMOps.
  • Ability to communicate complex technical concepts clearly to business, technical, and executive audiences in client-facing or consulting environments.

These will help you stand out
  • Master's degree or Doctor of Philosophy degree in Computer Science, Engineering, or a related STEM field.
  • Evidence of technical thought leadership, such as patents, technical publications, professional portfolio, peer recognition, or similar contributions.
  • Experience with agentic AI governance frameworks, autonomous system controls, responsible AI practices, and outcome monitoring.
  • Exposure to industry-specific Generative AI use cases across communications, media, technology, banking, financial services, healthcare, retail, manufacturing, or similar domains.
  • Contributions to AI platforms, internal accelerators, reusable assets, or best practices that help scale enterprise AI adoption.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary And Other Compensation
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
• Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $185,000 - $ 200,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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