**Description** **SAIC** is seeking a hands-on **AI Engineer** to join the AWS AI/GenAI Solutions Team within the IRS Advanced Analytics Program (AAP). This role focuses on the practical development and deployment of large language models (LLMs) and GenAI solutions using AWS services such as SageMaker, Bedrock, and open-source frameworks. The engineer will be directly responsible for coding pipelines, fine-tuning models, building inference endpoints, and integrating GenAI workflows into production. By working closely with data engineers, architects, and Trustworthy AI specialists, this role ensures that GenAI capabilities are secure, scalable, and aligned with IRS mission needs. **Key Responsibilities** + Build **end-to-end LLM pipelines** : data preparation, training, fine-tuning, and evaluation of models using SageMaker and Bedrock. + Develop **prompt engineering strategies, chaining pipelines, and custom evaluation scripts** to validate LLM behavior. + Implement **RAG (retrieval-augmented generation) workflows** by integrating LLMs with IRS data sources. + Code and deploy **inference endpoints, APIs, and integration layers** for mission teams to consume LLM services. + Optimize **model performance, latency, and cost** through benchmarking, hyperparameter tuning, and scaling strategies. + Embed **bias detection, fairness, and explainability checks** in model pipelines, in partnership with Trustworthy AI specialists. + Contribute to **CI/CD automation** for LLM deployments, including rollback and retraining workflows. + Write **production-grade Python code** and leverage frameworks such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow. + Document workflows and create **reusable templates/accelerators** for faster onboarding of new GenAI use cases. + Participate in **hands-on troubleshooting and debugging** of pipelines, deployments, and model behavior. **Qualifications** **Required Qualifications** + Bachelor’s or master’s degree in computer science, Data Science, or related field. + Ability to obtain and maintain a Public Trust requiring U.S. Citizenship + 5+ years of **hands-on AI/ML engineering experience** , including direct model training, fine-tuning, and deployment. + Strong expertise in **Python programming** and ML/LLM frameworks (Hugging Face, LangChain, PyTorch, TensorFlow). + Experience with **AWS AI services** (SageMaker, Bedrock, S3, Lambda, Step Functions) in production workflows. + Proven ability to build and deploy **inference endpoints and APIs** for AI/ML workloads. + Familiarity with **CI/CD pipelines** and IaC (Terraform, CloudFormation) for model deployment. + Practical understanding of **LLM evaluation methods** (prompt testing, bias/toxicity detection, response consistency). **Desired Skills** + Certifications: **AWS Certified Machine Learning Specialty** or equivalent. + Experience implementing **RAG pipelines** or multi-model orchestration for enterprise use cases. + Familiarity with **federal compliance frameworks** (FedRAMP, NIST 800-53) and secure AI/ML operations. + Knowledge of **Trustworthy AI principles** (auditability, explainability, fairness) in LLM contexts. + Strong problem-solving skills and ability to **debug real-world AI/LLM issues** in production. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. REQNUMBER: 2510239 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability