Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global management consulting and technology organization combines data, science, technology, and human ingenuity to develop solutions that improve outcomes for patients, caregivers, consumers, and organizations worldwide. The organization works collaboratively with clients to develop customized technology solutions and products that create measurable value across critical areas of their businesses.
Key Responsibilities
- Take ownership of architecture design and development for scalable and distributed software systems.
- Translate business requirements into clear and effective technical requirements.
- Own technical execution while ensuring code quality, adherence to deadlines, and efficient resource allocation.
- Apply data-driven decision-making approaches with a strong focus on achieving product objectives.
- Design, develop, and deploy LLM-based pipelines using patterns such as RAG, Agentic Workflows, and Parameter-Efficient Fine-Tuning (PEFT), including LoRA and QLoRA.
- Manage the complete software development lifecycle, including requirements analysis, design, coding, testing, deployment, and maintenance.
- Utilize AWS and Azure services covering identity and access management, monitoring, load balancing, autoscaling, databases, networking, storage, container registries, and related cloud infrastructure.
- Utilize Databricks capabilities, particularly Unity Catalog, to architect governance layers spanning data through AI model outputs.
- Design, develop, and deploy prompt and response guardrails that support responsible AI requirements.
- Implement DevOps practices using technologies such as Docker and Kubernetes to support continuous integration and delivery.
- Develop DevOps scripts and automation solutions for system monitoring and operational efficiency.
- Collaborate with cross-functional teams on technical solutions and product development.
- Conduct code reviews and provide guidance on software design, engineering standards, and best practices.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
- Strong programming skills with proficiency in Python and JavaScript.
- Experience with both stateless and stateful API frameworks such as FastAPI and Django.
- Strong experience with cloud platforms, particularly AWS, Databricks, and Azure.
- Proficiency in Infrastructure-as-Code, particularly Terraform and CloudFormation.
- Strong understanding of scalable application design principles.
- Experience with LLM solution patterns including RAG, Vector Databases, Hybrid Search, Agent Development, Agentic Workflows, and prompt engineering.
- Strong experience working with LLM APIs such as OpenAI, Anthropic, and AWS Bedrock.
- Experience with LLM development frameworks and SDKs such as LangChain and DSPy.
- Hands-on experience with DevOps technologies including Docker, Kubernetes, and AWS services such as Redshift, RDS, and S3.
- Hands-on experience with Databricks solutions, including Unity Catalog.
- Experience deploying production systems supporting thousands of users, including technologies such as Redis and Vector Search.
- Strong understanding of application security practices and compliance with privacy regulations.
- Knowledge of software engineering practices including Git, DevOps, and Agile or Scrum methodologies.
- Experience with the software development lifecycle and established software engineering best practices.
- Experience working with Agile methodologies for continuous product development and delivery.
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
Preferred Qualifications
- Experience with front-end development technologies such as React JS, Next JS, and Tailwind CSS.
- Experience with Azure DevOps.
- Experience architecting governance solutions across data, AI models, and AI-generated outputs.
- Experience developing responsible AI controls, including prompt and response guardrails.
- Experience working with large-scale production AI systems and distributed architectures.
- Experience collaborating across engineering, product, data, and business teams.
Position Details
Employment Area: Technology Architecture & Engineering
Job ID: 24086
Compensation: $125,000.00 – $138,000.00
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
