Cloud Engineer

• Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes.
• Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints.
• A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change.
• You will learn the constraints from the inside and rebuild the function from first principles, owning the method as an embedded part of the customer’s team.
• You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline.

Senior Forward Deployed AI Engineer, GenAI, AWS

• Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes.
• Work centers on Financial Services & Insurance and Healthcare & Life Sciences deploying five pre-built AI Blueprints.
• Embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE).
• Spend the first weeks of an engagement in the operator’s seat to learn the work and rebuild the function from first principles.
• Be measured on whether the Business Unit’s number moved, not on hours or scope delivered.
• This is a role for engineers who have led before and want to stay in the code while owning the outcome.

Forward Deployed AI Engineer, GenAI, AWS

• Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases
• Lead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams
• Build and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements
• Provide project leadership, planning, and execution across Property and GL data engineering initiatives
• Execute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns
• Translate actuarial and data science requirements into scalable, production-ready data solutions
• Adopt and embed MLOps practices across the model development and implementation lifecycle
• Establish data quality controls, profiling, and monitoring for model implementation and ongoing performance
• Present analysis and technical recommendations to influence data architecture and implementation decisions
• Provide technical leadership through code reviews, design guidance, and mentoring within the team
• Apply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives
• Perform other duties as assigned

Data Engineer II, AWS, Python, SQL

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
• Design complex data solutions
• Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Data Engineer II – AWS, Databricks, AI

• The API/Microservices/AWS Software Engineer designs and builds scalable, cloud-based microservices on AWS, using Java and modern DevOps practices.
• You’ll partner with architects and teams to deliver reliable, high-performing APIs and services in a fast-paced, Agile environment.
• Be involved in designing and building services in a continuous delivery model on a cloud platform.
• Partner with leads and architects to help establish a technical vision and deliver innovative services which are consistent, maintainable, and highly scalable for various commerce experiences.
• Work within microservices architecture, domain driven design, and RESTful APIs using Java.
• Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes with high transaction volumes.
• Use data structures, algorithms, and architecture patterns.
• Define solutions, provide estimates on effort and risk, and evaluate technical feasibility.
• Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests.
• Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously using automation and monitoring.
• Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance.
• Deliver software in a Scrum development process.
• Perform technical code reviews and pair programming.
• Partner with other teams to ensure the service ecosystem is loosely coupled and scalable.

Software Engineer – API, Microservices, AWS

• Partner with technical leaders and the open-source community to contribute to technical designs, frameworks, roadmap definition, and requirements-gathering.
• Provide domain knowledge and engineering insight to guide early designs, accelerate project decision-making, and maintain close oversight of technical execution.
• Encourage and maintain engineering excellence within the team to build reliable distributed systems that our customers can build their business on.
• Plot and execute on the path from prototype to production for features.
• Collaborate with business, product, architecture, security, digital, and engineering teams to deliver innovative solutions that address customer needs, solve complex challenges, and drive continuous improvement.
• Foster a collaborative and inclusive team culture by demonstrating ownership, accountability, and enthusiasm while contributing to automation initiatives and supporting high-performing remote teams.

Senior Software Engineer – Java Cloud

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Data Engineer I, AWS, Python, GenAI

• Assess the existing Azure environment, infrastructure dependencies, and modernization requirements to inform the target architecture
• Design the Azure tenant structure, including management groups, subscriptions, landing zones, networking, and resource organization
• Define cloud architecture standards, naming conventions, tagging strategies, and architecture decision records (ADRs)
• Advise on identity and access management, including Entra ID, RBAC, PIM, Conditional Access, and least-privilege access models
• Develop secure networking and connectivity patterns between Azure, on-premises systems, federal partners, and external integrations
• Define Infrastructure-as-Code standards, reusable modules, repository structure, and CI/CD workflows for development teams
• Produce architecture documentation, operational guidance, governance artifacts, and platform runbooks to support long-term maintainability

Azure Architect

• Develop and maintain AWS-based applications with a focus on IVR and telephony systems
• Build resilient IVR solutions ensuring proper failure handling, retries, and fallback logic
• Manage AWS infrastructure using Infrastructure as Code practices
• Design and integrate APIs for seamless IVR workflows
• Model and access data using DynamoDB to support application functionality
• Collaborate with cross-functional teams to enhance application performance and reliability

Senior AWS Connect Developer

• Provides service desk engineering escalation support within the J7 endpoint/identity scope
• Handles complex/escalated ticket resolution tied to imaging, baseline, enrollment, patching, and telemetry (not routine Tier 1).

Cloud Service Desk Specialist

• Identify, drive, and implement services to standardize cloud environments across the enterprise.
• Build reusable architectures and services that can be leveraged by agile teams to improve development velocity.
• Ensure applications follow best practices for fault tolerance, separation of duties, observability, and operational simplicity.
• Design and operationalize cloud solutions that integrate Contact Center platforms and Voice Bot technologies.
• Act as a subject matter expert for conversational AI and voice automation within customer engagement workflows.
• Advise on scalability and development opportunities to enhance customer experience capabilities.
• Deliver tooling and capabilities for cloud compliance, metrics, reporting, and cost management.
• Translate business requirements into secure, scalable cloud solutions aligned with enterprise architecture principles and guardrails.
• Apply DevSecOps principles and Agile methodologies to build immutable infrastructure using Infrastructure as Code (IaC).
• Serve as a trusted cloud and customer experience expert for aligned business units.
• Mentor junior team members and influence technical decisions to enable The Hartford’s technology transformation.
• Work closely with the Chief Technology Office, Enterprise Data Office, Claims and Contact Center operations to deliver simple, outcome-driven solutions.

AWS Cloud Engineer – Contact Center

• Design, implement, and manage security controls for AI platforms and cloud environments used by Cyber74 clients (Microsoft 365 Copilot, Azure OpenAI, Google Workspace AI, and similar)
• Configure and tune Data Loss Prevention (DLP) policies to prevent sensitive data exposure through AI tools and integrations
• Develop and maintain alerting rules to detect abuse, anomalous behavior, and policy violations within AI-enabled platforms
• Identify, remediate, and track security misconfigurations across AI and cloud environments using industry frameworks and tooling
• Conduct security assessments of client AI deployments to identify gaps, risks, and areas for hardening
• Collaborate with the vCISO and compliance teams to incorporate AI security considerations into broader client security programs
• Document findings, configurations, and procedures; produce clear reports for both technical and executive audiences
• Monitor the evolving AI security landscape and recommend new controls, tools, or policies as AI capabilities and threats develop
• Support pre-sales and scoping conversations by contributing technical expertise to proposals and client discussions

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