Top 8 Database knowledge graph gpt cloud Jobs

Senior Engineer (Applied AI / ML)
Qvest US —Austin, TX
- Full-time
- Hybrid work
- Travel
- Mentoring
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Principal AI Architect
SCAN Group —Lakewood, CA
- $147,900 - $254,798 a year
- Full-time
- Hybrid work
- Background check
- HIPAA
- Older adults
- Wellness program
- Paid holidays
Quick Apply
Senior Machine Learning Engineer, Cybersecurity / Threat Detection
Keeper Security, Inc. —Remote
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid jury duty
- Disability insurance
Senior AI Engineer (Breakthrough)
US Venture —Green Bay, WI
- Full-time
- Hybrid work
- Computer Science
- System design
- Bachelor's degree
Designated Technical Support Engineer
Glean Technologies —San Francisco, CA
- $120,000 - $190,000 a year
- On call
- Hybrid work
- Azure
- Office
- SQL
- Health insurance
- Dental insurance
Senior Machine Learning Engineer, Cybersecurity / Threat Detection
Keeper Security —El Dorado Hills, CA
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid jury duty
- Disability insurance
Cloud Infrastructure Engineer
Glean Technologies —Mountain View, CA
- $144,000 - $174,000 a year
- On call
- Hybrid work
- Azure
- Office
- Java
- Health insurance
- Dental insurance

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Senior Engineer (Applied AI / ML)

Qvest US -
Austin, TX

Quick Apply

Job Details

Full-time

Benefits

Health insurance
Dental insurance
Vision insurance
401(k) matching

Qualifications

AI models
Systems integration
Software engineering
Continuous Delivery (CD) implementation
Team supervision
Kanban
Tooling
Enterprise software
Software implementation
Enterprise solutions implementation
Managing IT teams
AI platforms (beyond public GPTs)
Schema design
Business consulting
Enterprise software systems development
Microservices
OOP
Event-driven architecture
Model deployment
Integration Platforms (Enterprise solutions)
Mentoring
Leading team collaboration initiatives
Data integration architecture
Agile software development
Client-Specific Solutions (system development)
DevOps automation
Senior level
Managing software development teams
Project leadership
Leadership

Full Job Description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.

About the IDC

The IDC is our Innovation and Development Center. We build custom software using modern technologies to solve complex business problems for our clients. We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding.

Who we're seeking

As a Senior Engineer, you enjoy solving problems and thrive in fast-paced, collaborative environments. You are looking for a role where you can work on varied projects, and influence technologies and solutions for both Qvest internal and client external projects. You thrive in environments where you're able to demonstrate technical competency while working individually, closely with team members, or directly with our clients.

Specifically working in our Applied AI / ML practice, you are a self driven engineer who loves to identify and experiment with new approaches, technologies, or tools which will impact our projects or industry. Examples could include emergent architectural approaches, new cloud provider offerings, or productivity enhancers (new tooling, Chat-GPT, Copilots, or similar).

What you'll do

You will provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a hands-on contributor
You will impact all phases of our projects and all phases of the SDLC
You will leverage your existing depth of knowledge to maximize your impact
You will grow into new and/or adjacent technologies and domains to broaden your impact
Present solutions to clients as well as Qvest team members
Shape the kind of technologies that we are going to be using

What you'll bring

4-6 years in software development, including working in teams
Experience with agile methodologies such as Scrum, Kanban or XP
Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG
Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc..) and understanding applicability to purpose / use case balancing cost vs. functionality
Experience developing copilots
Experience developing RAG applications
Experience with and around discussing enterprise deployments, knowing the landscape of enterprises, (their API’s, systems etc..) and the ability to communicate with client leadership in this area
Experience with Vector Database and Embeddings
Experience with Graph Databases
Definition, utilization and implementation of CI/CD pipelines
Familiarity with SOA, Microservices, or similar architectural patterns
Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc)
Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc.
Experience with typical AuthN/AuthZ methods and products
Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state
Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time

Travel Requirements

Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.

Remote & Hybrid Work

While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.

Life at Qvest

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel."

Equal Employment Opportunity

Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Quick Apply

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