Senior AI Engineer - SGI
other jobs eFinancial Careers
Added before 2 Days
- England,South East,Berkshire,Bracknell Forest
- Full Time, Permanent
- Competitive salary
Job Description:
Staff AI Engineer
Location: Remote
Salary: 100-110k/annum (DOE)
Industry: Life Sciences
Role Overview We are seeking a Staff AI Engineer to design, build, and scale production-grade ML, Generative AI, and Agentic AI systems within our business domain.
Embedded within the Enterprise Data Office, you will be the senior hands-on technical leader translating complex business problems into secure, scalable, and cost-efficient AI solutions on AWS and Databricks.
This is a deeply technical role focused on engineering excellence, operational resilience, and measurable business impact.
Key Responsibilities
*Architect and implement end-to-end AI systems (RAG, vector search, real-time and asynchronous inference).
*Productionize multi-agent workflows and Foundation Model integrations.
*Lead MLOps, LLMOps, and AgentOps practices (CI/CD, evaluation, monitoring, drift detection).
*Build secure, GPU-optimized, cloud-native AI platforms using Terraform, Docker, and Kubernetes.
*Ensure AI security by design (private endpoints, PII redaction, least-privilege IAM).
*Optimize cost-performance trade-offs across proprietary and open-source models.
*Lead technical design reviews and mentor engineers in AI-native development practices.
Experience *Expert building AI Architectures in AWS on Databricks.
*Strong experience with RAG, large-scale inference, and distributed systems.
*Hands-on MLOps/LLMOps in production environments.
*5+ years experience building scalable, secure AI services in enterprise settings.
*Strong communicator able to articulate engineering trade-offs clearly.
*Databricks Certified (preferred), AWS Certified (preferred)
Location: Remote
Salary: 100-110k/annum (DOE)
Industry: Life Sciences
Role Overview We are seeking a Staff AI Engineer to design, build, and scale production-grade ML, Generative AI, and Agentic AI systems within our business domain.
Embedded within the Enterprise Data Office, you will be the senior hands-on technical leader translating complex business problems into secure, scalable, and cost-efficient AI solutions on AWS and Databricks.
This is a deeply technical role focused on engineering excellence, operational resilience, and measurable business impact.
Key Responsibilities
*Architect and implement end-to-end AI systems (RAG, vector search, real-time and asynchronous inference).
*Productionize multi-agent workflows and Foundation Model integrations.
*Lead MLOps, LLMOps, and AgentOps practices (CI/CD, evaluation, monitoring, drift detection).
*Build secure, GPU-optimized, cloud-native AI platforms using Terraform, Docker, and Kubernetes.
*Ensure AI security by design (private endpoints, PII redaction, least-privilege IAM).
*Optimize cost-performance trade-offs across proprietary and open-source models.
*Lead technical design reviews and mentor engineers in AI-native development practices.
Experience *Expert building AI Architectures in AWS on Databricks.
*Strong experience with RAG, large-scale inference, and distributed systems.
*Hands-on MLOps/LLMOps in production environments.
*5+ years experience building scalable, secure AI services in enterprise settings.
*Strong communicator able to articulate engineering trade-offs clearly.
*Databricks Certified (preferred), AWS Certified (preferred)
Job number 3481380
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eFinancial Careers
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