Sr AWS Bedrock Engineer

Work closely with data scientists, software engineers, product managers, and stakeholders to translate AI research into production-ready systems. Fine-tune and deploy Amazon Bedrock models (e.g., Large Language Models and multimodal models) for specific use cases.

Job Role: Sr AWS Bedrock Engineer ( Generative AI)
Location: Plano, TX
Need AWS; therefore, hands-on experience with **Amazon Bedrock** will be highly advantageous.
Roles
Responsibilities
Design
Implementation
Develop and implement scalable AI agent architectures aligned with business requirements, leveraging foundational models.
Bedrock Model Expertise
Fine-tune and deploy Amazon Bedrock models (e.g., Large Language Models and multimodal models) for specific use cases.
Implement solutions involving vector-based retrieval and Retrieval-Augmented Generation (RAG).
Optimization
Improve model performance while ensuring optimal balance between computational efficiency and cost.
System Reliability
Ensure deployed AI systems are robust, accurate, scalable, and maintainable over time.
Innovation
Stay current with advancements in AI/ML technologies and continuously enhance existing solutions.
Collaboration
Work closely with data scientists, software engineers, product managers, and stakeholders to translate AI research into production-ready systems.
Data
Infrastructure
Manage large datasets and model lifecycle tools (e.g., MLflow).
Implement containerization solutions (e.g., Docker) to ensure reproducibility and scalability.
Required Skills
Experience
Technical Skills
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
Hands-on experience with MLOps tools (e.g., MLflow, BentoML, Kubeflow).
Solid understanding of LLMs, LangChain, and vector databases.
Experience working with AWS Bedrock services and APIs.
Familiarity with Docker, CI/CD pipelines, and cloud infrastructure.
The pay range for this role is
***k - ***k
per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
***