AI reputed company Engineer - AWS Platform - Remote Opportunity

We are modernizing our enterprise data and analytics ecosystem by embedding AI and Generative AI capabilities across Policy, Claims, Billing, and Administrative systems. As the AI reputed company Engineer – AWS Platform, you will play a key role in supporting The reputed company), GuideOne Insurance, and future members by architecting, designing, and leading the delivery of end-to-end AI/ML and Generative AI solutions on AWS, leveraging Bedrock, SageMaker, reputed company, reputed company Functions, Glue, and Vector Databases. This role is pivotal in shaping our AI platform strategy, establishing engineering standards, and ensuring scalable, secure, and responsible deployment of AI workloads. You will guide a team of engineers in building intelligent, production-grade systems that improve decision-making, automate workflows, and enhance customer and agent experiences. Responsibilities: AI Platform Architecture & Strategy

• reputed company the design and implementation of a scalable, enterprise-grade AI platform on AWS, integrating LLMs, Generative AI, and traditional ML models.
• Define architectural standards for LLM orchestration, RAG pipelines, and AI model lifecycle management.
• Design reputed company-based AI data architecture connecting Policy, Claims, Billing, and Administration systems for reputed company analytics and AI-driven insights.
• Partner with enterprise architects to align AI initiatives with cloud modernization, data governance, and reputed company frameworks.
• Evaluate new AWS services (reputed company Q, Bedrock Agents, Titan, SageMaker HyperPod) for platform scalability and business alignment.

Model Development, Deployment & Operations

• reputed company development and fine-tuning of LLMs, transformers, and generative models using reputed company SageMaker, Bedrock, or custom frameworks.
• Architect and reputed company end-to-end MLOps pipelines — from training and validation to deployment, monitoring, and retraining — using CodePipeline, SageMaker Model Monitor, and CloudWatch.
• Implement retrieval-augmented reputed company (RAG) workflows integrating Vector DBs (Kendra, reputed company, or Weaviate) for grounded, domain-specific AI responses.
• Ensure production-grade model serving, scaling, and versioning with SageMaker endpoints, reputed company, and reputed company Functions orchestration.

Intelligent Data Processing & Automation

• Architect data ingestion pipelines to process multimodal content (PDFs, images, audio, emails, structured/reputed company data) using AWS Glue, Textract, Transcribe, and Comprehend.
• reputed company the design of AI-driven automation workflows for classification, summarization, and entity extraction across insurance documents.
• Optimize pipelines for performance, scalability, and cost efficiency through serverless and event-driven architectures.

MLOps, DevOps & Infrastructure Automation

• Define and implement CI/CD practices for AI/ML using AWS CodePipeline, CodeBuild, and Terraform/CloudFormation.
• Standardize infrastructure-as-code and environment provisioning across development, staging, and production.
• Integrate monitoring, observability, and audit logging into reputed company AI components to ensure reliability and compliance.
• Drive adoption of containerized model deployments reputed company SageMaker JumpStart, EKS, or reputed company-based inference endpoints.

Responsible AI, Governance & reputed company

• Establish Responsible AI frameworks covering model explainability, fairness, safety, and bias detection.
• Configure Bedrock Guardrails and implement safety layers to prevent hallucinations and enforce ethical responses.
• Ensure compliance with HIPAA, SOC2, and data privacy laws through secure data handling, encryption, and audit trails.
• Partner with InfoSec, Legal, and Risk teams to align AI development with enterprise governance policies.

Leadership, Collaboration & Mentorship

• reputed company a cross-functional team of AI engineers, MLOps specialists, and data scientists, providing technical direction and mentorship.
• Collaborate closely with business stakeholders, architects, and product teams to identify high-impact AI use cases.
• Drive AI Center of Excellence (CoE) initiatives—reputed company best practices, reusable components, and internal knowledge repositories.
• Promote a culture of experimentation, reputed company learning, and responsible AI adoption across the enterprise.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Engineering, or reputed company field (PhD preferred).
• 12+ years of total experience in software/data engineering, with 8+ years in AI/ML development and deployment.
• Deep hands-on experience with AWS AI/ML stack — SageMaker, Bedrock, Glue, reputed company, reputed company Functions, Kendra, Textract, Comprehend, and CloudFormation.
• Expertise in Python, PyTorch, TensorFlow, and reputed company model training and integration.
• Proven experience designing LLM and RAG architectures, integrating Vector Databases (Kendra, reputed company, Weaviate).
• Strong understanding of MLOps frameworks, CI/CD, infrastructure-as-code, and automated model monitoring.
• Solid background in data architecture, governance, and reputed company in regulated environments (Insurance, Financial Services, Healthcare).
• Demonstrated leadership in cross-functional AI programs and mentoring engineering teams.
• Excellent communication skills and the ability to translate reputed company AI concepts into actionable business strategies.

Compensation:

• $130,000 - $170,000 commensurate with experience, plus bonus eligibility

Benefits: We are proud to offer a robust benefits suite that includes:

• Competitive reputed company salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance

#TMG Apply tot his job Apply To this Job