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JOB SUMMARY:

We are seeking a dynamic Technical Sales Associate to join our Sales & Marketing team. In this hybrid technical and business role, you will bridge the gap between advanced AI solutions and the clinical environments where they make the biggest impact. You will work closely with the Director of Business Development throughout the sales cycle, helping to qualify leads, conduct product demonstrations, and address customer technical questions to secure new business. This role will also be required to be engaging clients and collaborating with our software development team to ensure our products meet market needs.

JOB ACCOUNTABILITIES:

• Collaborate with the Director of Business Development to create and implement effective sales and marketing strategies.
• Assist in all stages of the sales process, from initial discovery and needs analysis to solution design and post-sale technical support hand-off.
• Act as a technical resource for prospect and customer meetings for in-depth technical questions about our AI models, APIs, integrations, and deployment options.
• Deliver engaging product demonstrations and training sessions—both online and in person—to prospective and existing clients.
• Develop deep expertise in Argus AI products from both a technical and sales perspective.
• Act as a liaison between Sales, Software Development teams, and Marketing teams to communicate customer feedback and technical requirements.
• Travel domestically and internationally to support business development, sales, and customer engagement.

SUPERVISORY RESPONSIBILITY:

This position has no immediate supervisory responsibilities.

WORK ENVIRONMENT & PHYSICAL DEMANDS:

This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, scanners, electronic filling of information and fax machines. The physical demands to successfully perform the essential functions of this job are as follows:

• While performing the duties of this job, the employee is regularly required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard reach, stoop kneel to occasionally install study-related computer equipment.
• The employee is occasionally required to climb or balance and crouch or crawl.
• The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

POSITION TYPE/ EXPECTED HOURS OF WORK:

This is a Full-Time Exempt position. Typical workdays are Monday – Friday and typical work hours are 8:30 am – 5:00pm EDT. Possibility to work before or after typical hours as needed to meet study timelines and goals. Infrequent but possible weekend work as needed.

TRAVEL: Ability to travel around 50% of the year, domestic & international - As needed to the Schenectady NY headquarters, to visit existing customers, prospects, study partners, and attend trade shows as assigned.

JOB QUALIFICATIONS:

• Option 1: Master’s degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science (AI specialization), or Biomedical Informatics.
• Option 2: Bachelor’s degree in Statistics, Mathematics, Computer Science, or Engineering PLUS an MBA in Marketing or Business Development.
• Strong understanding of machine learning concepts, AI models, and data science workflows.
• Strong technical aptitude, proficiency with cloud platforms like Oracle, AWS/Azure, programming languages like Python/JavaScript, databases, APIs, and etc.
• Strong presentation and public speaking skills.
• Exceptional verbal and written communication skills with the ability to explain complex technical and AI concepts to both technical and non-technical audiences, and interpersonal skills.
• Demonstrated passion for innovation in healthcare.

Preferred Qualifications

• Knowledge of healthcare IT systems, clinical workflows, and medical terminology.
• Familiarity with CRM systems.
• Certifications in AI for healthcare or sales/marketing are an asset.

Pay Range:

$70,000-$85,000 based on experience

OTHER DUTIES:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

About Us

EndoSoft is a software development company that was founded in the late 90’s. EndoSoft has recently launched an artificial intelligence platform, the Argus AI Ecosystem, and it is at the forefront of AI-powered clinical solutions. Argus AI is transforming how healthcare providers deliver care by providing time saving tools in the Electronic Health Record (EHR) space. We combine cutting-edge artificial intelligence with deep clinical insight to enhance workflow efficiency, streamline clinical documentation, and improve patient outcomes.

Why Join EndoSoft?

• Be part of a pioneering team shaping the future of AI in healthcare.
• Work on groundbreaking projects that have a real-world clinical impact.
• Opportunities for professional growth, travel, and cross-functional collaboration.
• Competitive salary and benefits package.

Enterprise Account Executive

AI Infrastructure / Real-Time Data Platform - Series B

San Francisco (Hybrid)

$140K base + $140K OTE

A venture-backed AI infrastructure company is scaling its enterprise sales team.

We want data-native, technically credible, curious sellers who are comfortable in ambiguous, API/data environments.

The company has built a real-time web intelligence platform that turns the live web into structured, governed, decision-grade data for enterprises and AI systems. Its technology runs autonomous Web Search Agents that actively navigate live websites using real browsers and reasoning, delivering complete, verifiable data for high-stakes decision making.

This is not legacy scraping.

This is not index-based AI search.

This is infrastructure powering financial due diligence, competitive intelligence, pricing systems, AI copilots, and LLM-based applications where correctness matters.

Backed by top-tier investors and trusted by globally recognised enterprise brands, the company is entering its next growth phase and hiring a technically credible, enterprise-grade Account Executive to help define the category.

The Opportunity

Reporting directly to the VP of Sales, the Enterprise Account Executive will own the full enterprise sales cycle and drive net-new logo acquisition across complex, multi-stakeholder organisations.

This is a high-ownership hunter role selling to technical client stakeholders:

• data teams
• eCommerce / pricing teams
• analytics / BI

The successful candidate will:

• Own end-to-end enterprise sales from prospecting to close
• Build and manage strategic pipeline in a primarily outbound-driven motion
• Lead consultative discovery across business and technical stakeholders
• Navigate complex buying committees including data, analytics, engineering, AI, and commercial teams
• Drive technical evaluations and POCs in partnership with Sales Engineering
• Position differentiated infrastructure value against legacy and AI-search alternatives
• Negotiate pricing, procurement, and enterprise contracts
• Expand strategic accounts post-land
• Maintain disciplined forecasting and Salesforce hygiene

This is not transactional SaaS selling.

This is consultative, infrastructure-level enterprise sales where accuracy, trust, and mission-critical data matter.

Candidate Profile

The ideal candidate will bring:

• 6+ years of quota-carrying B2B SaaS sales experience
• Proven success closing mid-market to enterprise deals involving multiple stakeholders
• Experience selling technical products such as:
• Data infrastructure
• Analytics platforms
• AI/ML tooling
• LLM-enablement platforms
• Developer or API-driven products
• Data science software
• Demonstrated overachievement against quota in complex, multi-threaded sales cycles
• Experience guiding technical POCs from evaluation through commercial close
• Strong technical fluency, with confidence engaging engineering, data, and AI teams
• Experience in startup or high-growth environments where pipeline must be built rather than inherited
• Strong commercial discipline around forecasting and pipeline management

The successful candidate will be:

• A true hunter rather than an account manager
• Technically curious and commercially sharp
• Comfortable selling differentiated, non-commodity technology
• Energised by building territory in an emerging category
• Autonomous, resilient, and accountable

A Bachelor’s degree is required.

Why Join

• Opportunity to sell a defensible AI infrastructure platform in a rapidly expanding market
• Work at the intersection of AI, automation, and real-time web intelligence
• Direct exposure to executive leadership and influence over go-to-market strategy
• Early-stage impact in a category-defining company
• Significant earnings potential and career progression

Role: Technical Founder’s Associate / Engineering Chief of Staff

Location: Sunnyvale, CA (Mostly remote but opportunity to work F2F with CTO)

Compensation: Academic Co-op (UC Berkeley/Stanford) OR Base + Potential startup Equity

The Reality: At Juice, we are making every second count. The platform authenticates vehicles at the edge using existing site cameras. Zero new hardware, instant M2M payments. As a lean, VC-backed team of three, Juice is already processing millions of transactions globally. The CTO (ex-Google, Microsoft, 2x IoT exits) is building the deep-tech architecture connecting today's $5 Trillion mobility market to tomorrow’s $13 Trillion autonomous economy.

Because the company is scaling at an unreasonable velocity, the CTO needs a high-leverage technical force multiplier. We are not looking for a standard software engineer who wants to be spoon-fed Jira tickets. Juice is looking for an absolute powerhouse to step into the role of Technical Founder’s Associate.

In Silicon Valley, this is the engineering equivalent of a Chief of Staff. You will operate as the CTO’s technical proxy and right hand. You are a technical Swiss Army knife—you have the hardcore computer science chops to ship production code, but you also possess the systems-thinking required to map out massive enterprise integrations, read dense API documentation from legacy vendors, and ruthlessly unblock the core engineering pipeline.

If you want a traditional FAANG internship where you spend three months changing a button color, close this page. If you want a masterclass in edge computing, computer vision, and building massive technical moats from the ground up alongside a 2x-exited founder—read on.

What you will execute:

• Force-Multiply the CTO: Take high-level, ambiguous architectural directives from the CTO, break them down using strict first principles, and build the initial prototypes and integration frameworks before they hit the core engineering pipeline.
• Wrangle Legacy Infrastructure: The mobility industry runs on messy, legacy hardware APIs (parking barriers, 15-year-old EV chargers, wash systems). You will elegantly integrate bleeding-edge AI with decades-old tech infrastructure, forcing them into the 21st century.
• Technical Operations: Evaluate hardware vendors, build internal God-mode telemetry dashboards to track the latency of thousands of edge cameras, and act as the technical translator in tier-1 partnership meetings.
• Ship Real Code: Push code to active US sites processing real financial transactions. There is no massive QA team to catch mistakes. You build it, you ship it, you own it.

>> HOW TO APPLY

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

As part of our continued investment in data and AI-driven innovation, we are expanding our machine learning capabilities across predictive analytics, optimization, and intelligent decision systems — while gradually incorporating modern Generative AI technologies where they create measurable business value.

We are seeking an Applied Machine Learning Engineer to design, build, and deploy production-grade machine learning systems across the healthcare enterprise.

This is a hands-on engineering role focused primarily on predictive modeling, optimization systems, decision engines, and scalable ML infrastructure. The ideal candidate combines strong modeling expertise with production engineering and MLOps experience.

In addition to traditional ML, this role will have opportunities to explore and implement Generative AI and LLM-powered capabilities as part of TAG’s evolving AI roadmap.

This role works in close partnership with Enterprise IT and Platform Engineering to ensure production-grade reliability and scalability.

Essential Responsibilities

Machine Learning Development & Modeling (Primary Focus)

• Design, develop, and deploy predictive models and ML algorithms to address business challenges such as: Schedule Optimization, Propensity Segmentation, Demand Forecasting, and Pricing
• Conduct experimentation, feature engineering, and hyperparameter tuning to improve model performance in collaboration with data scientists
• Implement advanced modeling techniques including tree-based methods, deep learning, and optimization algorithms.
• Translate business requirements into scalable ML solutions in partnership with cross-functional stakeholders.
• Take ownership of model performance from experimentation through production monitoring.

MLOps & Production Engineering (Core Expectation)

• Build scalable, secure, production-grade ML pipelines using modern cloud-native technologies.
• Contribute to implementing distributed training workflows, batch and real-time inference systems, and low latency serving architectures
• Deploy models via APIs and integrate with enterprise applications.
• Leverage Google Cloud Platform (GCP), including Vertex AI, BigQuery, Kubernetes, Cloud Run, Dataflow, and Pub/Sub.
• Implement CI/CD workflows for ML lifecycle management within defined architecture
• Ensure reproducibility, versioning, and governance of models and features.

Monitoring, Reliability & System Optimization

• Define and track key performance metrics for deployed models.
• Implement monitoring frameworks (e.g., Vertex AI Model Monitoring, logging, drift detection).
• Analyze model behavior in production and proactively improve reliability and performance.
• Collaborate with platform and infrastructure teams to ensure models meet scalability and compliance requirements.

Emerging AI Capabilities (Growth Area)

• Contribute to the development of LLM-powered solutions where appropriate (e.g., knowledge retrieval, decision-support copilots).
• Support implementation of Retrieval-Augmented Generation (RAG) pipelines using BigQuery and Vertex AI.
• Assist in experimentation with agent-based workflows and modern orchestration frameworks as part of TAG’s evolving AI initiatives.
• Stay current with advancements in Generative AI and evaluate their practical application to enterprise healthcare use cases.

Collaboration & Mentorship

• Work cross-functionally with Product, Platform, Data and Software Engineering teams
• Create clear documentation for models, pipelines, and systems.
• Promote engineering best practices across data science and analytics teams.
• Contribute to continuous improvement of TAG’s ML platform capabilities.

Qualifications

Required

• Bachelor’s degree in computer science, data science, engineering, or related technical field with 3-5 years of experience in machine learning engineering, data science, or related technical role.
• Strong proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience building and deploying production-grade ML systems at scale.
• Strong hands-on experience with: Google Cloud Platform (GCP), Vertex AI (training, pipelines, deployment, monitoring), BigQuery and data warehousing
• Experience with distributed systems, model deployment, and API development.
• Solid understanding of software engineering principles and system design.

Preferred

• Experience with optimization algorithms or decision-support systems.
• Familiarity with MLOps tooling (Airflow, MLflow, Kubeflow, etc.).
• Exposure to Generative AI, LLM-based systems, or RAG architecture.
• Familiarity with Kubernetes, Cloud Run, Dataflow, Pub/Sub.
• Experience in healthcare or regulated environments.
• Familiarity with responsible AI and governance best practices.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Job Title: Application Developer

Location: Omaha, NE 68137

Duration: 13 weeks contract

Shift Details: 40hrs/ week Mon & Wed Onsite & Tue, Thurs, Fri - Remote

Job Description:

• The .Net Technical Lead Developer will be responsible for the creation and maintenance of all software and related artifacts at Mosaic.
• This may include, but is not limited to, API integrations, .NET/React native applications, modernization of legacy scripting (perl/python/php), testing automation, and facilitation of data integration requirements using APIs / Custom solutions.
• Provide oversight of functional .Net applications while also being directly involved with .NET application coding, system debugging, code reviewing, and the development of operational procedures.
• Ensures the software development team produces scalable and functional applications that meet Mosaic’s specifications.

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

The Enterprise Application Architect is responsible for defining and driving the product’s technical vision using Azure cloud-based solutions and event-driven architectures. This role requires a big-picture mindset, leveraging architectural best practices in software design and implementation to guide teams toward successful productization.

The ideal candidate has strong experience designing and building scalable cloud solutions grounded in Domain-Driven Design (DDD) principles and Microservices architecture within a highly collaborative Agile environment. Deep expertise in the .NET technology stack is essential, as you will work closely with engineering leads to ensure accurate and high-quality implementation.

The Enterprise Application Architect is expected to continuously expand their knowledge of emerging Azure capabilities and proactively integrate relevant services into the platform. Strong communication skills are critical, with the ability to clearly articulate technical concepts and architectural decisions to both technical teams and leadership.

Responsibilities

• Design and develop highly scalable, cloud-native applications on the Azure platform, leveraging modern paradigms such as microservices, serverless computing, and containerization using core services including Azure Functions, AKS, Azure Service Bus, Stream Analytics, Azure IoT, and Azure SQL.
• Provide technical leadership to feature teams during design, support developers throughout implementation, and guide DevOps teams during deployment.
• Define and evolve cloud application architecture; assess technical feasibility; conduct product design reviews with engineering leads and team members.
• Develop deep domain expertise and identify, analyze, and resolve architectural weaknesses, including scalability bottlenecks, domain modeling issues, and application-level conflicts.
• Stay current with industry trends and emerging technologies, applying optimal design patterns to ensure highly available, resilient, and scalable solutions.

Requirements

• Bachelor’s degree in a technical field or 10+ years of equivalent professional or military experience preferred.
• Master’s degree in Computer Science, Engineering, or a related field preferred.
• Minimum seven (7) years of hands-on experience architecting, designing, and developing enterprise-scale, cloud-based software solutions within an Agile environment.
• Strong proficiency in designing and building applications using ASP.NET Core and modern cloud paradigms, including containers and serverless technologies.
• Minimum five (5) years of C#/.NET development experience with deep expertise in ASP.NET Core.
• Proven experience architecting highly available, horizontally scalable systems.
• Hands-on experience designing and managing release processes, code merging and promotion strategies, CI/CD pipelines, and configuration management.

Technical Expertise

• Domain-Driven Design (DDD), Event-Driven Architecture, distributed systems
• Microservices and Micro-frontend architectures
• ASP.NET Core, RESTful APIs, API Management
• Azure Functions, Logic Apps, Azure Integration Accounts, Azure Stream Analytics
• Container platforms and Azure Kubernetes Service (AKS)
• Identity and Access Management (Azure AD, Azure AD B2C, OAuth2)
• Azure SQL and NoSQL solutions, including Azure Table Storage
• Azure IoT, ARM templates, DevOps pipelines, CLI scripting (preferred)
• Cloud monitoring tools such as Azure Log Analytics, Azure Monitor, and Application Insights
• Enterprise Architect modeling (preferred)
• Experience with D365 CRM, React, and Progressive Web Applications (preferred)

Senior Department Manager - Engineering (Cross-Functional)

Location: Charlotte, NC

Department: Engineering

Reports To: Director of Engineering

Employment Type: Full-Time

About the Role

We are seeking a cross-functional Engineering Manager to lead the planning and execution of engineering for combined-cycle power plant projects. This leader will be responsible for technical execution, quality, and disciplined procedures, ensuring effective information flow across engineering disciplines and seamless integration with construction, project management, supply chain, and field services. The role requires a business-minded manager who can drive staffing, manage budgets, champion the use of our High Value Engineering (HVE) center, and hold teams accountable while modeling servant leadership.

Why Join Us

• Lead high-impact, grid-relevant projects in a critical energy segment.
• Influence execution methods, tools, and standards across the portfolio.
• Grow and mentor a large, high-performing, cross-functional team.

What You’ll Do

Cross-Functional Leadership & Information Flow

• Orchestrate work across mechanical, electrical, I&C, civil/structural, and field engineering teams with clear interfaces, handoffs, and deliverable owners.
• Establish and enforce information flow processes (e.g., requirements management, design inputs/outputs, change management, RFI/submittal workflows) to minimize rework and schedule risk.
• Ensure engineering decisions reflect constructability and downstream impacts on procurement, construction means/methods, commissioning, O&M, and client requirements.

Technical Execution & Quality Ownership

• Own the technical execution plan and quality of engineering deliverables (calculations, drawings, 3D models, data sheets, specs, studies, and vendor documents).
• Lead phase-gate reviews, design reviews, constructability reviews, and management of change (MOC).
• Implement procedures, checklists, QA/QC hold points, and compliance with codes/standards for combined-cycle facilities (e.g., ASME, API, NFPA, NEC/NFPA 70, NERC, and applicable environmental/permitting requirements).
• Drive lessons learned and continuous improvement across projects and portfolios.

Team Leadership (100+ People, Direct, Indirect & Matrix)

• Lead and influence large, direct, indirect and matrixed teams of 100+ across in-house staff, contractors, and HVE resources.
• Set expectations, drive accountability, and cultivate a servant leadership culture that emphasizes clarity, follow-through, and psychological safety.
• Coach discipline leads/PMs; ensure clear scope, deadlines, and ownership.

Staffing, Resource Planning & HVE Center Utilization

• Own project staffing plans, demand forecasting, and leveling; align resources with schedules and budgets.
• Champion the High Value Engineering (HVE) center: identify opportunities, define scope split, standardize interfaces, and track productivity/quality metrics to maximize value.
• Partner with Department Managers & Talent Acquisition on proactive hiring initiatives and critical role coverage.

Required Qualifications

• Bachelor’s degree in Mechanical, Electrical, Civil/Structural, Chemical, or related engineering field from an ABET/EAC accredited program.
• Minimum 20 years of experience (w/ PE); or 25+ years of experience without a PE
• Demonstrated leadership of large teams (50-100+ people) - direct, indirect and matrixed - across multiple disciplines.
• Proven ownership of technical execution and quality with strong procedure orientation and information-flow governance.
• Solid understanding of gas turbines, HRSGs, steam turbines, balance of plant, I&C, and electrical systems.
• Experience managing budgets, forecasts, and performance metrics (e.g., EVMS, productivity, cost/schedule variance, change management).
• Strong communication skills and the ability to influence across stakeholders.

Preferred Qualifications

• 10–15+ years delivering combined-cycle power plant projects across design, procurement, construction, commissioning, and handover.
• Professional Engineer (PE) license; ability to oversee stamping strategy and licensing compliance across jurisdictions.
• EPC or OEM/EPCm experience with phase-gated execution from FEED through commissioning/startup.
• Familiarity with standards and practices: ASME/ANSI, API, NFPA/NEC, NERC, OSHA, environmental permitting, and grid interconnection.
• Tools exposure: Primavera P6 or MS Project, Navisworks/Clash, CAESAR II, ETAP, plant design suites, PLM/PDM, EDMS, and analytics/reporting tools.
• Experience with Advanced Work Packaging (AWP), modularization, and construction-driven design.
• Background in leveraging High Value Engineering centers with defined SLAs, KPIs, and quality gates.