AI Engineer
Location: Pittsburgh PA (Hybrid)
Schedule: Hybrid Onsite 3 days/week (Wednesday Tuesday or Thursday one additional day of choice)
Relocation: Yes open to this scenario.
Required Experience & Qualifications
Experience
Senior Role: 7 years in software engineering data science or related technical roles.
Staff Role: 10 years in software engineering data science or related technical roles.
Both Roles: MUST HAVE -on experience building and deploying generative AI solutions in enterprise environments. (MUST BE A BUILDER)
Strong coding proficiency and ability to build production-grade systems.
Experience working directly with business partners to gather requirements and shape solutions.
Full-stack understanding across data application and AI layers.
Technical Skills
Proficiency in backend development using Python Java Shell or Linux.
Experience with APIs knowledge graphs vector databases and modern data structures.
Demonstrated knowledge of MLOps model lifecycle management and CI/CD practices.
Experience building solutions using modern AI frameworks (e.g. RAG) and platforms such as:
AWS Bedrock
Copilot Studio / Foundry
GitHub Agent / GitHub AI
Snowflake AI / Snowflake Agents
Ability to design reusable frameworks prompt templates and reference architectures.
Additional Qualifications
Bachelor s degree in AI Data Science Computer Science or related field (or equivalent experience).
Industry certifications preferred.
Knowledge of banking applications is a plus.
Strong communication analytical and interpersonal skills.
Ability to manage multiple priorities work independently and reliably meet commitments.
High learning agility and a strong appetite for emerging technologies
AI Engineer Location: Pittsburgh PA (Hybrid) Schedule: Hybrid Onsite 3 days/week (Wednesday Tuesday or Thursday one additional day of choice) Relocation: Yes open to this scenario. Required Experience & Qualifications Experience Senior Role: 7 years in software engineering data scienc...
AI Engineer
Location: Pittsburgh PA (Hybrid)
Schedule: Hybrid Onsite 3 days/week (Wednesday Tuesday or Thursday one additional day of choice)
Relocation: Yes open to this scenario.
Required Experience & Qualifications
Experience
Senior Role: 7 years in software engineering data science or related technical roles.
Staff Role: 10 years in software engineering data science or related technical roles.
Both Roles: MUST HAVE -on experience building and deploying generative AI solutions in enterprise environments. (MUST BE A BUILDER)
Strong coding proficiency and ability to build production-grade systems.
Experience working directly with business partners to gather requirements and shape solutions.
Full-stack understanding across data application and AI layers.
Technical Skills
Proficiency in backend development using Python Java Shell or Linux.
Experience with APIs knowledge graphs vector databases and modern data structures.
Demonstrated knowledge of MLOps model lifecycle management and CI/CD practices.
Experience building solutions using modern AI frameworks (e.g. RAG) and platforms such as:
AWS Bedrock
Copilot Studio / Foundry
GitHub Agent / GitHub AI
Snowflake AI / Snowflake Agents
Ability to design reusable frameworks prompt templates and reference architectures.
Additional Qualifications
Bachelor s degree in AI Data Science Computer Science or related field (or equivalent experience).
Industry certifications preferred.
Knowledge of banking applications is a plus.
Strong communication analytical and interpersonal skills.
Ability to manage multiple priorities work independently and reliably meet commitments.
High learning agility and a strong appetite for emerging technologies
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