Senior AI Engineer

Velsera; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible Work & Time Off

Health & Well-being benefits

Growth & Learning programs

Engaging & Fun Work Culture

Many More..

Job summary

Velsera is hiring for a role focused on delivering practical AI capabilities atop our engineering and operations foundation. You’ll implement code-assisted tooling, CI/CD integration, and AI quality gates in a regulated environment (HIPAA/GxP, FedRAMP).

You will partner with security/compliance to define internal standards and drive adoption across teams. We seek senior software/platform engineers with strong Python skills and experience in Java or TypeScript, plus hands-on AI tooling across

Qualifications

• 5+ years in software engineering, platform engineering, DevEx, or SRE/operations with hands-on AI workflows.
• Experience building or productionizing AI-assisted developer tooling (code review, test generation, documentation, automation).
• Experience building and operating automated/ semi- automated agent workflows for scoped engineering tasks.
• Experience creating AI-assisted observability capabilities (anomaly detection, intelligent alerting, triage automation).
• Strong coding skills in Python plus one of Java or TypeScript.
• Comfort operating in regulated environments and designing boundary/auditability guardrails (HIPAA, FedRAMP, etc.).
• Clear written and verbal communication to align engineers, security/compliance, and leadership.

Responsibilities

• Build and operate an internal AI platform for developer workflows (code assistance, PR reviews, tests, docs).
• Integrate AI into CI/CD toolchains and promote easy adoption via templates and self-service patterns.
• Implement AI quality gates with policy checks and secure-by-default configs for safe merges/releases.
• Design guardrails for regulated environments including logging, access controls, and data handling.
• Maintain FedRAMP-boundary-safe practices for regulated work with separation where required.
• Collaborate with engineering, security, and compliance to define internal AI standards and reviews.
• Enhance observability with AI-driven runbooks, anomaly detection, and rapid MTTR improvements.
• Measure impact on adoption, cycle time, and release reliability, reporting to leadership.

Skills

Python

Java

TypeScript

LLMs/AI in workflows

DevEx/Platform engineering

SRE/observability

HIPAA/GxP/FedRAMP guardrails

Tools

AWS

GitLab CI

Jenkins

GitHub Actions

SonarQube

Prometheus

ELK

Job description

About Velsera

Medicine moves too slow. At Velsera, we are changing that.

Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights.

Velsera provides software and professional services for:

• AI-powered multimodal data harmonization and analytics for drug discovery and development
• IVD development, validation, and regulatory approval
• Clinical NGS interpretation, reporting, and adoption

With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries!

What will you do?

You’lldeliver practical AI capabilities on top of our existing engineering and operations foundation (CI/CD, code quality, and observability) with strong guardrails for HIPAA/GxPand FedRAMP-boundary work.

Tech environment (varies by team):Java, Python, Go, TypeScript; AWS;GitLab/Jenkins/GitLab CI; SonarQube; Prometheus + ELK and AWS-native monitoring.

• Build andoperatean internal AI platform for developer workflows: codeassistance, PR review support, test generation, documentation, and automation that fits how ourteamswork.
• Integrate AI capabilities into the toolchain (CI/CD, code quality, repos) and make adoption easy through templates, examples, and self-service patterns.
• Implement AI quality gates (policy checks, confidence thresholds, regression tests, secure-by-default configs) so AI-generated changes cannot be merged/released unless they meet standards.
• Design for regulated environments: implement logging/auditability, access controls, and data-handling guardrails for HIPAA/GxPwork.
• Maintain a FedRAMP-boundary-safe approach for SBP Federal work (separation whererequired; evaluate compliant alternatives; prevent prohibited tooling/data flows).
• Partner with engineering leads and security/compliance to define and roll out internal standards for responsible AI use (including review practices and acceptable-use guidance).
• Build AI-assisted operations on top of existing observability signals: anomaly detection, incident triage support, runbook-driven automation, and self-healing patterns to reduce MTTR.
• Measure impact (adoption, cycle time, incident metrics), iterate quickly, and communicate progress clearly to engineering leadership.

What do you bring to the table?

• 5+ years in software engineering, platform engineering,DevEx, or SRE/operations engineering, with recent hands-on work applying LLMs/AI to real workflows.
• Experience building or productionizing AI-assisted developer tooling (e.g., code reviewassistance, test generation, documentation, workflow automation)—not just evaluating off-the-shelf tools.
• Experience building andoperatingautomated/semi-automated agent workflows that execute scoped engineering task
• Experience building AI-assisted operations/observability capabilities (anomaly detection, intelligent alerting, triage automation, runbook automation) on top of existing monitoring stacks.
• Strong coding skills in Python plus one of Java or TypeScript.
• Comfortoperatingin regulated environments and designing guardrails (HIPAA,GxP, FedRAMP, or similar), including boundary/tenant separation and auditability.
• Clear written and verbal communication; able to align engineers, security/compliance, and leadership.

Preferred

• Experience with FedRAMP boundaries andevaluatingFedRAMP-authorized tooling alternatives.
• Experience integrating deeply with CI/CD and developer toolchains (GitHub/Jenkins/GitLab CI, SonarQube,CodeBuild, etc.).
• Prior platform/DevExexperience building internal products where engineers are the customers.
• Experience in regulated software domains (clinical, federal, financial, or similar).
• Familiarity with AWS-native ops tooling (CloudWatch, DevOps Guru) and workflow/orchestration tools.

Success in this role looks like measurable improvements in engineering throughput and operational outcomes (e.g., faster reviews, more reliable releases, reduced alert fatigue, lower MTTR) while meeting compliance requirements. If you like building internal platforms that teams rely on every day—and you can balance speed with strong guardrails,we’dlike to talk.

• Flexible Work & Time Off - Embrace hybrid work models and enjoy the freedom of unlimited paid time off to support work-life balance.
• Health & Well-being - Access comprehensive group medical and life insurance coverage, along with a 24/7 Employee Assistance Program (EAP) for mental health and wellness support.
• Growth & Learning - Fuel your professional journey with continuous learning and development programs designed to help you upskill and grow.
• Engaging & Fun Work Culture - Experience a vibrant workplace with team events, celebrations, and engaging activities that make every workday enjoyable.
• & Many More..