Overview:
The Applied AI Engineer is responsible for identifying, developing, and implementing practical artificial intelligence, machine learning, and automation solutions that drive business value, improve operational efficiency, and enhance decision-making. This role partners across the organization to evaluate business opportunities, design and deploy production-ready solutions, integrate third-party AI technologies, and ensure AI systems are secure, scalable, compliant, and operationally sustainable. The position combines technical expertise, business acumen, and innovation to deliver measurable outcomes through AI-enabled transformation.
Responsibilities:
AI Strategy and Business Value Delivery – Identify, prioritize, and implement high-impact AI and automation opportunities that drive measurable business outcomes, improve decision-making, and support organizational objectives.
AI Solution Development and Deployment – Design, build, test, and deploy scalable, production-ready AI solutions, including intelligent assistants, machine learning applications, and workflow automation tools.
Operational Efficiency and Process Optimization – Streamline business processes through automation and innovative technologies to increase productivity, reduce manual effort, and improve operational effectiveness.
AI Governance, Reliability, and Risk Management – Ensure AI solutions meet security, compliance, governance, monitoring, reliability, and operational readiness standards while supporting responsible AI practices.
AI Opportunity Identification and Solution Delivery
Identify, assess, prioritize, and deliver high-value AI and automation initiatives aligned with business objectives.
AI Engineering and Automation Development
Design, develop, implement, and support AI-powered applications, intelligent assistants, and workflow automation solutions.
Machine Learning Operations and Platform Management
Oversee model versioning, experiment tracking, testing, deployment, monitoring, drift detection, and retraining processes.
Governance, Security, and Operational Excellence
Ensure all AI solutions comply with governance, security, regulatory, reliability, and operational readiness requirements.
Vendor Evaluation and Technology Integration
Evaluate, select, and implement third-party AI, machine learning, and software-as-a-service solutions.
Determine the most effective approach for solving business problems, balancing build, buy, and integration decisions.
Qualifications:
Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, or a related field required.
Minimum of five (5) years of experience in software engineering, data science, applied artificial intelligence, machine learning, or a related technical discipline required.
Experience developing, implementing, or supporting large language models (LLMs), workflow automation, and cloud-based AI/ML services.
Ability to evaluate business requirements and determine the most effective approach, including custom development, third-party solutions, or integrated technology platforms.
Understanding of production support concepts including monitoring, performance optimization, reliability, and operational readiness.
Experience with machine learning platforms and tools such as Azure Machine Learning, MLflow, Databricks, SageMaker, Vertex AI, or similar technologies preferred.
Experience building and managing machine learning pipelines including data preparation, training, evaluation, deployment, monitoring, and retraining preferred.
Experience with AI development platforms and tools such as Microsoft Foundry, Azure OpenAI, Copilot Studio, or similar technologies preferred.
Ability to travel periodically to company locations, meetings, training sessions, or business-related events, as needed.
Benefits:
- Medical
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Dental
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Vision
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401(k) Match
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Profit Sharing
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Paid Time Off
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11 Holidays
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Tuition Reimbursement
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Free Parking throughout Tompkins Community Bank
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Employee Referrals
EEO Statement:
Tompkins is committed to a policy of Equal Employment Opportunity ("EEO") with respect to all team members and applicants for employment and a work environment free from discrimination (including unlawful harassment) based on race, color, religion, sex, sexual orientation, transgender status, gender non-conformity, gender identity, gender expression, national origin, age, marital status, domestic violence victim status, disability, predisposing genetic characteristics, military or veteran status or status in any group protected by federal, state, or local law.
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Pay Range: USD $105,000.00 - USD $145,000.00 /Yr.
