AI Summary
Design, build, and deploy production-grade generative AI solutions. Lead full-stack end-to-end development of custom AI solutions. Collaborate with architecture teams to build secure solutions.
Key Highlights
Design and deploy AI solutions
Lead full-stack development of custom AI solutions
Collaborate with architecture teams
Key Responsibilities
Design, create, and implement reusable AI frameworks
Lead the full stack end-to-end development of custom AI solutions
Collaborate with cloud, data and security architecture teams
Technical Skills Required
Benefits & Perks
Relocation assistance offered
10 years of overall experience in software engineering, data science, or related technical roles
Nice to Have
Knowledge of data query, analysis, and scanning tools and techniques
Strong interpersonal, written and oral communication, and analytical skills
Job Description
Role Overview
The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.
Key Responsibilities
- Design, create, and implement reusable AI frameworks, prompt templates, reference architecture, and reference architectures to accelerate AI solution delivery across teams.
- Lead the full stack end-to-end development of custom AI solutions leveraging knowledge of MLOps, context management, and CICD practices to orchestrate AI agents and technology (e.g., Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock, etc).
- Collaborate with cloud, data and security architecture teams to build secure, extensible solutions
- 10 years of overall experience in software engineering, data science, or related technical roles, with strong proficiency in coding, business and system design, and production deployment.
- A minimum of 1-2 years of hands-on experience building and deploying systems, preferably generative AI solutions, in enterprise environments
- Bachelor’s degree in Artificial Intelligence, Data Science, or related field or equivalent work experience
- Industry certification or eligibility preferred
- Proficient in backend development using AI algorithms. Python, Java, Shell, Linux or Node.js, MCP, APIs, knowledge graphs, vector databases, & data structures
- Demonstrated knowledge of MLOps, model lifecycle, and (CI/CD) practices.
- Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent, Snowflake Agents, Copilot Studio and AWS Bedrock.
- Created reusable frameworks, prompt templates, and reference architectures to accelerate AI solution delivery across teams.
- Knowledge of data query, analysis, and scanning tools and techniques
- Strong interpersonal, written and oral communication, and analytical skills
- Ability to manage multiple priorities, work independently, coordinate work assignments with management throughout the organization and reliably meet commitments
- Strong aptitude for technology and an ability to learn quickly
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About Techstra Solutions
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com
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