A.C.Coy Company

AI Engineer

• Design and develop scalable solutions utilizing AI tools and machine learning models
• Conduct research, testing, and analysis to develop machine learning algorithms and predictive models
• Leverage big data processing and storage technologies to create datasets, prototypes, and data-driven solutions
• Perform model training, evaluation, integration, testing, tuning, and ongoing performance monitoring
• Lead and/or develop project requirements from inception through completion for complex and highly complex programs, while providing strategic guidance, technical leadership, and expert consultation to program and project teams
• Demonstrate continuous learning and adaptability within large-scale enterprise IT environments
• Troubleshoot software applications and technical implementations across complex enterprise ecosystems
• Design, develop, and integrate APIs to support business and technical requirements
• Query, manage, and analyze data using both SQL and NoSQL database technologies

Senior AI Engineer/Architect

Data Engineer

• Lead and mentor a team of data engineers, conducting code reviews and ensuring development standards
• Support troubleshooting and incident management for data-related issues in production
• Collaborate with business stakeholders, data scientists, and other team members to gather requirements and translate them into technical specifications
• Lead the design, development and deployment of scalable and high-performance data pipelines using Azure Databricks
• Optimize pipeline performance, cost, and scalability in the Azure cloud environment
• Implement data quality checks and validation procedures to ensure the accuracy and integrity of data
• Collaborate with data scientists and analysts to operationalize and deploy machine learning models
• Define the end-to-end Lakehouse architecture using Delta Lake, implementing medallion architecture (Bronze, Silver, Gold layers)
• Oversee the development of robust, scalable batch and streaming ETL/ELT pipelines using PySpark, Scala, and SQL
• Integrate real-time and batch data sources using Apache Kafka and ADF
• Implement Unity Catalog for unified governance, data security, fine-grained access control (RBAC), privacy measures, and data lineage tracking
• Tune Spark jobs and Databricks clusters to maximize throughput while maintaining cost efficiency

Data Platform Manager

Project Manager

• Manage delivery across multiple projects and workstreams by owning integrated workplans, milestones, resourcing, and day-to-day execution
• Manage client engagements end-to-end (scope, schedule, budget, quality)
• Provide industrial engineering and operations expertise, including time and motion studies, work measurement, sampling approaches, cost-benefit analysis, and process re-engineering
• Lead operational assessments and current-state diagnostics
• Design and deliver engineered labor/time standards (ELS/ETS)
• Drive productivity improvement initiatives across labor productivity, utilization, and performance management
• Redesign operating models and business processes
• Partner with SMEs to develop productivity improvement initiatives
• Translate strategy and customer journey insights into operational requirements and process changes
• Ensure deliverables are “client-ready”
• Reviews and approves all travel expenses
• Coaches and develop project team by providing proper support and direction

Project Manager – Consulting

• Lead the design, develop and implement data models for enterprise-level applications and systems
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
• Propose and collaborate on plans for security, backup, disaster recovery, business continuity, and archiving
• Oversee the development team by monitoring and reviewing the quality, performance, security, and scalability of solutions

Enterprise Data Architect

Network Engineer

• Engineer and architect firewall infrastructure for Client sites globally
• Expert in Cisco firewalls and implementation in a manufacturing environment
• Lead project to convert from Cisco ASA firewalls to Firepower OS
• Set up servers and Firewall Management Console to manage and monitor firewalls
• Covert each set of firewalls for each site; combine firewalls when more than two exist
• Transition support to offshore Operations team after firewalls are converted
• Day to day troubleshooting
• Available for off-hours project work

Solutions Engineer

• Designs, develops, and oversees the implementation of software solutions, ensuring that the new solutions align with the existing enterprise architecture from technical, business, user, and other perspectives.
• Translate business requirements into well-architected solutions and review detailed designs in collaboration with the Business Systems teams to implement end-to-end integrated systems.
• Collaborate with key stakeholders to understand and accurately define complex problems, setting engagement objectives and scope.
• Develop work plans and coordinate activities across multiple project workstreams, ensuring comprehensive solutions are created.
• Assess technical needs and capabilities during implementation, using an analytical approach to understand all related technologies and topics.
• Evaluate new technologies and vendors in support of systems development efforts and recommend technologies that will increase effectiveness and systems flexibility.
• Ensure fit for purpose by conducting vendor evaluations, proofs-of-concept, and MVP definition.
• Regular communication with IT specialists and enterprise architects to develop and implement complex technology and business solutions that fits the enterprise architecture.
• Create a comprehensive architecture for application and software solutions, ensuring they fit into the existing enterprise architecture.
• Guide the organization to incorporate architecture design patterns, system best practices and standards in architecture, software, security, privacy, data cleanliness, and infrastructure.
• Cooperate with all development teams, understanding how every product and service works within the solution and enterprise architecture.
• Oversee the successful delivery of quality end solutions to end users.
• Analyze the business impact of technical choices on the client’s business processes, providing strategic direction on the solution.
• Supervise and guide development teams ensuring the solution developed aligns to the solution design and fits with enterprise architecture.
• Continuously research emerging technologies, proposing changes to the existing enterprise and solution architecture to improve overall efficiency and effectiveness.

Solution Architect

Engineer

• Lead and support the design of groundwater treatment and remediation systems, including process design, hydraulic analysis, and selection and layout of equipment, piping, and instrumentation
• Provide technical expertise for the operation, optimization, and troubleshooting of existing groundwater treatment systems and remediation infrastructure
• Support PFAS treatment projects, including sampling approaches, treatment evaluation, and regulatory considerations
• Interface with state and federal regulatory agencies, including preparation and support of permit applications and compliance documentation
• Prepare and review technical reports, engineering calculations, and design documents
• Support project planning, scheduling, and budget management, with increasing responsibility as appropriate
• Serve as a technical resource and mentor to junior engineers and staff
• Participate in business development activities, including proposal preparation and client support

Senior Environmental Engineer

Systems Engineer

• Act as a liaison to Client’s businesses and various customer groups
• Coordinate and lead the offshore teams in the support of the Oracle Global Data Warehouse
• Establish and maintain an effective working relationship across the organization
• Oversee the deployment of customizations and enhancement requests
• Ensure that all system development, change control standards, and compliance processes are followed
• Coordinate and assist in investigating and resolving support issues
• Participate in and support system upgrades, deployments, and technology expansions
• Preserve and improve the cybersecurity posture
• Manage small to large-scale projects
• Lead the discovery, planning, and implementation of process improvements
• Collaborate with IT Business Architect to define and maintain application roadmaps
• Maintain ITIL artifacts, architecture diagrams, audit, disaster recovery, and various support documentation
• Pursue continuous learning consistent with technology changes

Global Data Warehouse Systems Analyst

Threat Intelligence Specialist

• Identify, track, and monitor emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise.
• Conduct analysis of open sources to identify fraudulent communication channels and techniques, including, but not limited to forums, social media, dark/deep web, news media, public records, and geospatial data.
• Build and maintain fraud indicators, risk scores, and watchlists using internal data and external intelligence sources.
• Develop analytical queries, dashboards, and automated alerts to uncover anomalous patterns such as counterfeit documentation, suspicious claims activity, identity misuse, or operational irregularities.
• Leverage open-source data and information to conduct link analysis to uncover fraud networks and schemes.
• Produce high-quality intelligence products including threat assessments, trend analyses, profiles, timelines, and geo-based heat maps.
• Partner with internal stakeholders to share intelligence, escalate issues, and support audit and investigative efforts.
• Identify issues and trends based on severity, potential impact, and risk, ensuring proper documentation and evidentiary standards.
• Recommend and evaluate preventive, detective, and mitigative controls.
• Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk.
• Deliver timely, actionable reporting to leadership on trends, exposures, root causes, and mitigation opportunities.
• Translate analytical findings into clear recommendations for non-technical stakeholders.
• Prepare materials for audit, compliance, or law enforcement requests as needed.

Senior Open-Source Intelligence Analyst

Security Engineer

• Lead the IT Security, Infrastructure, and Operations teams, setting strategic direction and operational priorities
• Collaborate with department and company leadership to align IT infrastructure, security, and IT service strategies with business objectives
• Regularly communicate with stakeholders to provide updates on IT initiatives, gather feedback, and ensure alignment with business objectives
• Develop and implement IT policies and procedures, ensuring compliance with industry best practices and regulatory requirements
• Own budgetary planning and execution in areas of responsibility
• Provide leadership, guidance, and mentoring to staff, promoting a culture of continuous improvement and professional development
• Stay current with emerging technologies and industry trends
• Conduct risk assessments and vulnerability analyses
• Maintain and mature a risk management program
• Oversee the organizational security awareness program

Director, IT Operations – Security

• Lead the design of a global Zero Trust architecture
• Design and implement automated compliance assessments
• Establish security guardrails for internal and customer-facing AI models
• Develop and enforce enterprise-wide security policies using Terraform
• Oversee the integration of CNAPP and CSPM tools
• Conduct deep-dive threat modeling for complex cloud-native systems
• Architect and maintain the security of asset inventory
• Develop the

Cloud Security Engineer – Architect

• Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
• Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
• Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
• Assist with Operationalizing deployments and support of Cloud services for ETL Operations.
• This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
• Written and oral presentations to high-level CIO management on status of current efforts.
• Possesses skills and experience related to business management, systems engineering, operations research, and management engineering.
• Typically has specialization in a particular technology or business application.
• Keeps abreast of technological developments and industry trends.
• Assist with deployment, configuration, and management of Azure Cloud environment.
• Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
• Ability to share optimization and efficiencies with the larger team and management.
• Ability to automate solutions to repetitive problems/tasks.

Senior Data Engineer – Databricks SME

DevOps Engineer

• Lead the evolution of the software delivery lifecycle by embedding security into every stage of the CI/CD pipeline
• Architect and maintain automated CI/CD pipelines that utilize AI/ML models for static and dynamic analysis (SAST/DAST) to identify complex vulnerabilities that traditional rule-based tools miss
• Design security frameworks for the end-to-end AI lifecycle, including securing data ingestion, protecting model weights, and implementing 'Guardrail' architectures for Large Language Models (LLMs)
• Develop AI-driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams
• Implement enterprise-wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi-cloud environments
• Conduct advanced threat modeling for cloud-native applications, specifically accounting for AI-specific attack vectors like model inversion or data poisoning
• Create self-service security tools and 'Golden Paths' that allow developers to deploy securely without friction, fostering a proactive security culture
• Achieve 90% automated security coverage across all production-bound code
• Utilize AI to reduce vulnerability remediation time by 40% within the first year