Jobs at Signant Health

About the Role

• We are seeking an AI Engineer to build and optimize Signant Health's AI Platform and agents that automate workflows across our organization. This role sits at the intersection of application development and model optimization, requiring both strong software engineering fundamentals and expertise in generative AI technologies. You'll be responsible for developing and optimizing our AI platform components, developing intelligent agents, implementing RAG systems, and ensuring high-quality, secure, and compliant AI responses through rigorous evaluation frameworks and robust guardrails. 
• This position offers the opportunity to shape how AI transforms our organization's operations, working on production systems that directly impact efficiency and innovation across multiple teams while maintaining the highest standards of data security, privacy, and regulatory compliance. 

What you will do:

Application Development 

• Design and implement AI-powered agents that automate complex, multi-step workflows across the organization.
• Build RAG (Retrieval-Augmented Generation) systems using vector stores and knowledge bases to ground AI responses in organizational knowledge. 
• Develop prompt engineering strategies and context optimization techniques to maximize accuracy and reliability of AI outputs.
• Create integrations between AI systems and existing tools, APIs, and data sources. 
• Implement memory systems and state management for conversational agents and long-running workflows.

Platform Optimization & Evaluation 

• Develop comprehensive evaluation frameworks to measure accuracy, relevance, and quality of AI system responses.
• Design and execute experiments to optimize agent performance, including A/B testing of different prompting strategies. 
• Monitor production AI systems and implement improvements based on performance metrics and user feedback. 
• Optimize inference costs and latency while maintaining quality standards. 
• Build tooling and dashboards for observability into AI system behavior. 

Model Development & Fine-Tuning 

• Engineer datasets for training and fine-tuning language models on organization-specific tasks.
• Implement and evaluate fine-tuning pipelines for LLMs and SLMs (Small Language Models). 
• Optimize model inference for production environments, balancing speed, cost, and quality. 
• Conduct experiments to determine when fine-tuning, prompt engineering, or RAG approaches are most appropriate.
• Stay current with advances in language models and evaluate new models for potential organizational use.

Security & Compliance 

• Design and implement guardrails and content filtering mechanisms to prevent harmful or inappropriate AI outputs. 
• Develop hallucination detection and mitigation strategies to ensure factual accuracy and reliability of agent responses. 
• Establish security policies for AI systems including data access controls, prompt injection prevention, and sensitive information handling.
• Create compliance frameworks that align AI systems with regulatory requirements (GDPR, HIPAA, SOC2, etc.) and industry standards. 
• Implement monitoring and alerting systems to detect anomalous AI behavior, security incidents, or compliance violations.
• Conduct AI safety assessments and red-teaming exercises to identify vulnerabilities and edge cases. 
• Document AI decision-making processes and maintain audit trails for regulatory review and internal governance. 
• Collaborate with security, legal, and compliance teams to ensure AI systems meet organizational risk management standards.

Collaboration & Technical Leadership 

• Partner with business stakeholders to identify high-impact automation opportunities. 
• Document AI system architectures, design decisions, and best practices. 
• Contribute to technical standards and guidelines for AI development across the organization.
• Mentor team members on AI technologies and share knowledge through internal presentations or documentation. 
• Participate in code reviews and provide feedback on AI system designs. 

Preferred Qualifications:

Education 

• AWS AI/ML certifications are preferred. 

Experience:

Required: 

• 5+ years of software engineering experience with strong proficiency in Python and production system development.
• 2+ years of hands-on experience building and deploying AI/ML applications in production environments.
• Demonstrated expertise in prompt engineering, context engineering, and optimizing LLM-based applications for accuracy and performance. 
• Experience implementing RAG (Retrieval-Augmented Generation) systems using vector databases (PostgresSQL (pgvector), Amazon Bedrock Knowledge Bases, MongoDB, Pinecone). 
• Proven track record of building evaluation frameworks and metrics to measure AI system quality, accuracy, and reliability.
• Experience with LLM fine-tuning, dataset engineering, and model evaluation methodologies.
• Strong understanding of AI security principles including guardrails, content filtering, hallucination detection, and prompt injection prevention. 
• Experience working with APIs, microservices architectures, and distributed systems. 
• Proficiency with version control (Git), CI/CD pipelines, and modern software development practices. 

Preferred: 

• Experience building autonomous agents or multi-step AI workflows with tool use and decision-making capabilities. 
• Knowledge of inference optimization techniques, model quantization, or deployment optimization for LLMs and SLMs. 
• Familiarity with regulatory compliance frameworks (HIPAA, GDPR, SOC2) in the context of AI systems. 
• Experience implementing monitoring, logging, and alerting systems for production AI applications. 
• Background in healthcare, life sciences, or clinical trial operations. 
• Contributions to open-source AI projects or published work in applied AI/ML. 
• Experience with AI safety, red-teaming, or adversarial testing methodologies. 
• Familiarity with modern AI frameworks (Strands, LangChain, CrewAI, LlamaIndex) and model providers (Amazon Bedrock, Anthropic, OpenAI, Gemini).

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Where do you fit in?

• As a Project Manager you will lead the planning, execution, and successful delivery of client projects from start to finish. You’ll manage timelines, budgets, and resources, ensure high-quality communication with clients, and drive resolution of project risks and issues. This role requires strong leadership, problem-solving, and organizational skills, along with experience in project management and the software development lifecycle. A background in clinical research, life sciences, or the pharmaceutical industry is a plus.

As part of our team, your main responsibilities will:

• The Project Manager is responsible for the planning, execution and completion of projects considering budget, timelines, resources and task management. The Project Manager will communicate in a transparent and timely manner with the assigned Signant Health clients and internal stakeholders. He/she will manage project risks and ensure timely resolution while reporting out on project status with the appropriate internal and external stakeholders.
• The Project Manager contributes to the implementation of company-wide process improvements to ensure effective and efficient project delivery.
• This role requires an effective leader that excels in problem-solving, able to motivate a result-oriented team, and can build trust-based relationships with Signant Health’s clients.

KEY ACCOUNTABILITIES - Function

• Manage and lead the initial project delivery tasks, including, but not limited to the software development lifecycle (SDLC) of Simple to Medium complexity studies.
• Ensure project systems are built and released in accordance with client expectations inclusive of leading the project system change control process.
• Support the implementation of complex, multi product projects as needed.
• Manage projects in accordance with established timelines, budget, quality standards, and/or contractual requirements.
• Review, approve and maintain project and corporate systems and documentation.
• Handle client escalations independently and work with internal and client teams to resolve. Escalate as appropriate in a timely manner.
• Responsible for quality of communication with client - cadence, content and audience. Serves as the primary contact for customers on assigned projects.
• Accountable for financial health of the assigned projects. This can include vendor services, licensing, payments, invoicing, devices, resource assignments and vendor management activities.
• Collaborate with other functional areas for project delivery to ensure timelines and client expectations are met within budget.
• Responsible for identification and documentation of Incident Reports with Quality Management group. (Inclusive of Client Notification and Closure)
• Responsible for reporting of project status updates.

KEY ACCOUNTABILITIES – Role

• As a Project Manager, the employee is expected to recognize the importance of and to create a culture of process improvement with a focus on streamlining our processes adding value to our business and meeting client needs.
• As a member of staff, the employee is expected to embrace and contribute to our culture of process improvement with a focus on streamlining our processes adding value to our business and meeting client needs.
• Responsible for compliance with Company Procedures in support of client deliverables.
• Recognize, exemplify and adherence to the company values which center around our commitment to People, Clients, and performance.

DECISION MAKING AND INFLUENCE

• Demonstrated ability to lead through influence.
• Capable of weighing risks and making decisions that align with Signant values and strategy.
• Manage customer escalations effectively, with follow up and closure.

You’ll need to bring:

• Bachelors’ degree or equivalent or relevant experience
• Understanding of the software development life cycle and the specification and configuration of software products
• Able to multi-task and work with multiple team members
• Must have excellent time management, communication (oral and written), and organizational skills
• Must be detail, and first-time quality delivery, orientated
• Must have solid MS Office Suite experience – Word, Excel, MS Project, PowerPoint
• Ability and experience of direct project activities and ensuring customer satisfaction while understanding and adhering to the study budget
• Must be comfortable speaking in front of diversified and/or large audiences
• Must be able to communicate and engage effectively with all levels of the organization and have excellent written and spoken English skills
• Must have experience in a Project Management role OR equivalent
• Must show initiative and be able to work independently as needed

Desirable:

• Background in Pharmaceutical, Medical education and/or CRO
• Experience of clinical trials/pharmaceutical industry/life sciences
• Ability to travel for business trips (overnight business trips could be expected quarterly)
• Experience/understanding of the clinical research environment and GCP principles is preferred
• PMP or equivalent certificate.

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Where do you fit in?

• We are seeking a highly experienced Lead Cloud Operations Database Architect to design, implement, and govern enterprise data architecture supporting regulated clinical research systems. This role owns all database-related aspects across Microsoft Azure and AWS cloud environments, ensuring performance, security, scalability, and compliance with GxP, FDA 21 CFR Part 11, and ICH-GCP regulations.
• The ideal candidate brings deep technical expertise across MS SQL, Azure SQL, AWS RDS, and Cloud SQL in high-volume production environments, paired with strong leadership in data governance, architecture design, and lifecycle management for mission-critical clinical trial platforms.

Key Responsibilities

Architecture & Design

• Design and maintain enterprise-scale data architectures supporting clinical trial systems
• Ensure high availability, scalability, resilience, and security across Azure and AWS environments

Database Administration & Operations

• Own database setup, configuration, backup/recovery, replication, and performance tuning
• Support MS SQL Server, Azure SQL, AWS RDS, and Cloud SQL in production environments

Regulatory Compliance

• Establish and enforce database procedures aligned with GxP and FDA regulations
• Partner with QA/Compliance teams to support audits, validation, and inspections

Security & Data Integrity

• Implement access controls, encryption, monitoring, and logging to protect sensitive clinical and patient data

Automation & DevOps Integration

• Automate provisioning, patching, and schema deployments using CI/CD and IaC
• Work with tools such as Terraform, OpenTofu, ARM templates, and AWS CloudFormation

Cross-Functional Leadership

• Collaborate with Engineering, Project Management, and Compliance teams to align enterprise data strategies

Monitoring & Optimization

• Implement proactive alerting, capacity planning, and performance optimization

Documentation & Standards

• Maintain architecture diagrams, SOPs, and technical documentation to support audits and validation

You’ll need to bring

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred)
• 10+ years of experience in database architecture/administration
• 5+ years of cloud experience across Azure and AWS
• Deep expertise in MS SQL Server, Azure SQL Database, and AWS RDS
• Proven experience supporting regulated (GxP / FDA) environments
• Strong understanding of data security, governance, and compliance in life sciences or healthcare
• Hands-on experience with IaC, monitoring platforms (CloudWatch, Azure Monitor), and automation scripting (PowerShell, Python, or Bash)
• Strong communication skills and the ability to partner with cross-functional technical and clinical teams

Nice to have

• Experience integrating with clinical data systems (CDMS, EDC, LIMS)
• Familiarity with Snowflake, data lakes, and ETL/ELT pipelines
• Cloud certifications such as Azure Database Administrator or AWS Database Specialty

Key Competencies

• Strategic, system-level thinking
• Strong data integrity and compliance mindset
• Technical leadership and mentoring capability
• Analytical problem-solving
• Effective cross-team communication

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Where do you fit in?

• Service Delivery Specialist owns and delivers end‑user IT services by providing reliable technical support, ensuring security and compliance, participating in service and technology projects, and continuously improving the user experience through effective service design and training.

 As part of our team, your main responsibilities will be:

Incident Management & Service Support

• Provide IT support to the global end‑user community, including on-site and remote employees.
• Deliver hands-on support for end-user devices, including deployment, configuration, troubleshooting, and lifecycle management.
• Offer end-user guidance and training on devices, collaboration tools, and business applications.
• Ensure high-quality service delivery by monitoring incident queues, prioritizing cases, and escalating issues when needed.

Training & Knowledge Enablement

• Support the creation and delivery of service-based training materials for IT team members and the wider user community.
• Contribute to the development of user guides, knowledge articles, and self-service resources.
• Assist in conducting training sessions to improve user adoption and reduce recurring issues.

Project Participation

• Collaborate with project teams to assist in the deployment and rollout of new IT services and technologies.
• Participate in project tasks such as testing, documentation, communication, and post-implementation support.
• Provide feedback to improve service quality, user experience, and operational readiness.

Security & Compliance

• Work closely with the IT security team to ensure all end-user devices remain compliant with corporate standards.
• Log and track security-related incidents, ensuring timely remediation.
• Support efforts related to patching, endpoint protection, identity management, and enforcement of security policies.

Service Ownership & Continuous Improvement

• Act as an escalation point for one or more assigned services within the IT service catalog.
• Oversee the full life cycle of assigned services, including design, testing, documentation, road mapping, and enhancements.
• Maintain service documentation, workflows, and support materials.
• Identify opportunities for service optimization and process improvements.

General Responsibilities

• Travel as required to support regional or global service initiatives.
• Perform additional responsibilities or tasks as assigned based on business needs.

What You'll Bring:

• Associates degree in computer science or communications.
• Minimum of three years’ experience in IT support, additional experience in leading a support team.
• Knowledge of Azure active directory, BitLocker and Defender ATP. Microsoft operating systems (Windows 10, Server 2012/2016/2019). Mac OSX
• Knowledge of Office 365 environment including Email, SharePoint, Teams and OneDrive.
• Familiarity with deployment of smartphones (Android/iOS).
• Strong training development skills, being able to communicate complex technical matters in an easy-to-understand way. 
• Must be able to deal effectively with all levels of the organization.
• Must be a team-oriented person with good communications, interpersonal skills and willingness to learn and grow.