Senior AI Engineer
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Role details
Tech stack
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Job description
Que Technology Group, Inc., is seeking a motivated Senior AI System Engineer to support the exciting Technology & Tradecraft Integration mission. The Engineer will work closely with mission stakeholders design, integration, and implementation of advanced AI-enabled solutions, ensuring scalable, secure, and mission-focused system architectures. This role requires expertise in systems engineering, cloud technologies, data pipelines, analytics, and modern AI capabilities, including Agentic AI workflows and natural language interfaces., * : Collaborate closely with customers to design and implement AI-enabled solutions that support data-driven decision-making, operational effectiveness, and mission success.
Requirements
- Adept at integrating advanced analytics, Agentic AI workflows, cloud technologies, and knowledge management capabilities to transform complex data into actionable intelligence.
- Proven ability to align technical architectures and system capabilities with evolving mission requirements while ensuring scalability, reliability, and user adoption.
- : Demonstrated technical proficiency in analyzing complex problems and developing scalable AI-enabled system architectures that align with mission and business objectives.
- Experienced in translating conceptual designs into detailed technical specifications while applying systems engineering principles to evaluate system-wide impacts, dependencies, and performance.
- Skilled in designing and implementing Agentic AI workflow automations for data pipelines, research, analysis, and reporting, as well as developing intuitive natural language interfaces to knowledge graphs.
- Proficient in AWS cloud services, data migration to AWS-hosted databases, advanced analytics, statistical analysis, and the visualization of data science insights to support informed decision-making.
:
- Bachelor’s degree plus 9-years of relevant experience or equivalent.
- Proficiency with object-oriented languages (JAVA, Python, JavaScript) and experience with Jupyter Notebooks, GHOSTMACHINE, data visualization platforms, generative AI, LLM, RAG, Neo4j, AWS (Lambda, EC2, ECS/EKS, SAGEMAKER, S3, RDS, OpenSearch).
:
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Active TS/SCI with Polygraph required.
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Knowledge of customer corporate tools and data repositories.
Benefits & conditions
- Competitive salary
- Company Medical/Dental/Vision plans - Company paid
- Short-term Disability, Long-term disability and Life Insurance - Company paid
- Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses
- Vacation / Personal days granted at 25 days per year
- Paid Federal Holidays - 11 days
- $5,000 Annual Professional Development Fund plus 40 paid hours if in class
- 401K with 6% company match; all contributions are immediately vested by Employee
- Employee will be paid a bonus of $10,000 per employee hired based on their referral
- Up to 3 paid Code Red days due to customer closure
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