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Vector Tracing Jobs in Texas (NOW HIRING)

Atlas Search and Vector Search, sharding experience is a plus) * Strong proficiency with Node.js ... Strong operational skills: logging, metrics, tracing, dashboards/alerts, and production support ...

Atlas Search and Vector Search, sharding experience is a plus) * Strong proficiency with Node.js ... Strong operational skills: logging, metrics, tracing, dashboards/alerts, and production support ...

Senior Software Engineer, Agentic AI

Austin, TX · On-site

$121.40K - $160.10K/yr

... vector databases, and GPU-optimized training and inference workflows to deliver best-in-class ... Knowledge of OpenTelemetry, tracing, structured events, exporters, or observability pipelines are a ...

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

AI Engineer III HYBRID

Richardson, TX · On-site

$107.20K - $182.60K/yr

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ... Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.

AI Engineer (DFW Hybrid)

Richardson, TX · On-site

$85.80K - $146.20K/yr

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ... Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.

AI Engineer (DFW Area)

Richardson, TX · On-site

$107.20K - $182.60K/yr

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ... Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ... Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ... Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.

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Vector Tracing information

What is a Vector Tracing job?

A Vector Tracing job involves converting raster images (such as JPG or PNG) into scalable vector graphics (such as SVG, AI, or EPS). This process ensures that the image can be resized without losing quality, making it ideal for logos, illustrations, and print designs. Designers use software like Adobe Illustrator or CorelDRAW to manually redraw the image using vector paths. This service is commonly used in branding, embroidery, engraving, and high-quality printing.

What are the key skills and qualifications needed to thrive in the Vector Tracing position, and why are they important?

To thrive in Vector Tracing, you need strong proficiency in graphic design principles, attention to detail, and the ability to accurately convert raster images to vector format. Familiarity with industry-standard software like Adobe Illustrator or CorelDRAW is essential, and knowledge of different vector file types can be an advantage. Excellent communication skills, time management, and the ability to interpret client feedback set top professionals apart. These skills ensure precise, high-quality vector graphics that meet specific client needs and project deadlines.

What are the typical daily responsibilities of a Vector Tracing professional?

As a Vector Tracing professional, your daily responsibilities generally include converting raster images—such as logos, illustrations, or photographs—into clean, scalable vector graphics using specialized software. You often review client specifications, make revisions based on feedback, and prepare final files in various formats suitable for print, web, or production use. Collaboration with designers, printers, or marketing teams can also be part of your workflow, especially when ensuring consistency across branding materials. Managing multiple projects simultaneously and meeting tight deadlines are common challenges you may encounter in this role.
What are the most commonly searched types of Vector Tracing jobs in Texas? The most popular types of Vector Tracing jobs in Texas are:
What are popular job titles related to Vector Tracing jobs in Texas? For Vector Tracing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Vector Tracing jobs in Texas look for? The top searched job categories for Vector Tracing jobs in Texas are:
Infographic showing various Vector Tracing job openings in Texas as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

AI Architect Agentic & Generative AI

Select Minds LLC

Dallas, TX

$180K - $200K/yr

Full-time

Posted 3 days ago


Job description

Benefits:
  • Oppurtunity for Advancement
  • Long Term
  • Competitive salary

AI Architect Agentic & Generative AI
Work Type: Full-Time, Onsite
Location: Dallas, Texas
Interview Mode: In-Person
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock

Compensation: Competitive, commensurate with experience
As AI Architect Agentic & Generative AI, you will be responsible for defining, building, and scaling enterprise-grade agentic AI architecture on AWS. This role focuses on establishing frameworks, patterns, and guardrails that enable safe, reliable, and cost-efficient AI solutions, leveraging Amazon Bedrock (Agents, Knowledge Bases, Guardrails, Flows) and Claude models.
You will collaborate with cross-functional teams in product, engineering, data, and security to deliver next-generation AI capabilities including retrieval-augmented generation (RAG), multi-agent orchestration, and governed AI operations driving measurable business impact through intelligent automation and decision-making systems.
Responsibilities
  • Define and evolve the enterprise agentic AI architecture, establishing reusable frameworks and standards for RAG, tool/function calling, and multi-agent orchestration.
  • Design and implement AI solutions using Amazon Bedrock and integrate with core AWS services (Lambda, Step Functions, EventBridge, ECS/EKS, S3, Aurora, OpenSearch, DynamoDB).
  • Drive adoption of agentic AI patterns planning, memory, and human-in-the-loop ensuring alignment with enterprise security and compliance frameworks.
  • Guide model selection and optimization (Claude family and Bedrock models), including prompt schema design, adapters, and fine-tuning strategies.
  • Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid/vector retrieval using OpenSearch and pgvector.
  • Apply Guardrails and data-governance controls (IAM/ABAC, KMS, private networking) to ensure privacy, PII protection, and compliant operations.
  • Establish observability and reliability frameworks including evaluation pipelines, tracing, cost metrics, fallbacks, and A/B testing.
  • Collaborate with platform and DevOps teams to enable governed AWS landing zones, CI/CD automation, and environment management for AI workloads.
  • Publish architecture blueprints, starter kits, and best-practice guides for AI engineers and developers.
  • Mentor engineering teams and contribute to hiring, training, and AI community enablement initiatives.
  • Research and assess emerging AWS and open-source agentic tools, proposing pragmatic adoption strategies.
Required Skills & Experience
  • 8+ years designing and implementing large-scale distributed or cloud systems (including 4+ years on AWS).
  • 2+ years building AI/ML or generative AI solutions in production environments.
  • Hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails) and Claude models.
  • Deep understanding of RAG design, hybrid/vector search (OpenSearch, pgvector), grounding, and citation techniques.
  • Proficiency in Python (preferred) or similar modern programming languages.
  • Solid grasp of AWS orchestration services (Lambda, Step Functions, EventBridge) and CI/CD practices.
  • Applied knowledge of AI governance, security, and observability (IAM, KMS, Guardrails, evaluation, tracing).
  • Excellent communication and architectural documentation skills.
Preferred Qualifications
  • Expertise in Agentic AI systems, including multi-agent workflows, tool/function calling, and memory architectures.
  • Experience with LangChain, LangGraph, or similar orchestration frameworks.
  • Advanced prompt design, RAG optimization, and model customization experience.
  • AWS Certifications Solutions Architect (Professional) or Machine Learning Specialty.