AI Native Engineer

Role: AI Native Engineer

Location: Reston, VA

Duration : Long term (Onsite)

Job Description:-

We are seeking a AI Native Engineer with strong expertise in Python, Java, Oracle, and AWS cloud engineering to design, build, and operate AI first solutions across Fannie Mae’s STEM ecosystem, with deep integration into SimCorp Dimension, finance technology platforms, and AWS based AI services. This role assumes AI is a core engineering capability—embedded into development, testing, operations, and business workflows—to increase velocity, reduce KTLO, and safely modernize mission critical financial platforms.

Key Responsibilities
AI & Automation:-
Develop and support AI enhanced automations for CI/CD, incident management, and operational workflows (runbooks).
Integrate generative AI/LLM based capabilities into applications and pipelines.
Drive AI adoption within Apache Airflow, including intelligent workflow optimization and alerting.
Implement Retrieval Augmented Generation (RAG) over SimCorp related documentation, runbooks, reconciliation rules, and operational knowledge

Cloud, Infrastructure & Resiliency:-
Build and maintain solutions using AWS services including Windows and Linux EC2, S3, Lambda, RDS Oracle, CloudWatch, and IAM.
Automate deployment, monitoring, and operational tasks using Python, Bash, and Linux tools.
Design and automate resiliency architectures, including system failover/failback and DR testing.
Support Tech Mandates Java, Python upgrades, cloud migrations, platform upgrades, and security/vulnerability remediation.

Database & Operations:-
Develop and optimize Oracle PL/SQL and backend database components.
Perform performance tuning tasks: query tuning, diagnostics, patching, backup/recovery.
Troubleshoot across applications, infrastructure, and database layers.
Partner with engineering, infrastructure, and business teams to deliver end to end platform solutions.

Required Qualifications:-
Strong programming skills in Vibe Coding, Python and Java.
Deep experience with Oracle, PL/SQL, and database performance engineering.
Hands on experience building AI powered or AI enabled cloud solutions Github Copilot, Microsoft Copilot, ChatGPT enterprise and AWS native Bedrock/SageMaker.
Experience with Windows, Linux, Oracle infrastructure, and enterprise operational engineering.
Hands on AWS experience: RDS, EC2, S3, IAM, CloudWatch, Lambda.
Proven experience automating failover/failback and resiliency testing.
Strong background in SDLC, CI/CD (Git, Jenkins), diagnostics, and cross stack troubleshooting.

Preferred Qualifications:-
Experience with Apache Airflow, ActiveBatch, Shell scripting.
Infrastructure as Code (CloudFormation, Terraform, CDK).
Windows OS engineering experience.
Financial services or largescale enterprise experience.
Experience with SimCorp Dimension.

Shape
Education & Experience:-
Bachelor’s degree in Computer Science, Information Systems, or related field.
5–10 years in software development, cloud engineering, or database engineering.
AWS Professional level certification(s) preferred.