Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you’ve come to the right place.
JOB SUMMARY –
The Senior Engineer – AI is responsible for end-to-end AI projects from problem definition to model to deployment and monitoring. The primary focus of this role is to combine expertise in machine learning, data engineering, and system architecture to deliver complex AI solutions. This position requires a deep understanding of AI principles, strong problem-solving skills, and the ability to effectively communicate with both technical and non-technical stakeholders.
MINIMUM REQUIREMENTS –
- 3+ years of experience in AI/ML development, with a proven track record of production-level deployments.
- Expert in Python and familiar with core ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers)
- Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
- Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace
- Solid understanding of ML theory, statistics, linear algebra, optimization, and deep learning architectures.
- Experience with cloud services (AWS, GCP, Azure), containerization (Docker, Kubernetes), and MLOps tools (MLflow, DVC, Airflow).
- Familiarity with tools for model explainability (SHAP, LIME), monitoring, and continuous retraining.
- Possesses and applies simple to moderate knowledge of particular product or platform to the completion of assignments
- Ability to learn, understand and adopt new software platforms and processes
- 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar
- High proficiency in Microsoft Office suite products
- Good communication skills and ability to communicate at some levels of the organization (technical and business)
- 3+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)
- 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar
- 3+ years experience working with small, geographically distributed teams
- 3+ years experience working both independently and in a team oriented, collaborative environment
- 3+ years experience in agile/waterfall software delivery methodologies
- Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs
EDUCATION REQUIREMENTS –
- Bachelor’s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience
Principal Duties and Responsibilities –
- Problem & solution design
- Work with stakeholders to frame business problems as AI/ML use cases
- Define success metrics, constraints, and data requirements
- Data engineering & preparation
- Ingest, clean, and transform data from multiple sources
- Build and maintain feature pipelines / datasets for training and inference
- Model development
- Select appropriate algorithms (ML, deep learning, NLP, recommendation, etc.)
- Train, tune, and validate models using best practices (cross‑validation, baselines, ablation, etc.)
- Evaluation & experimentation
- Design experiments (A/B tests, offline metrics) to compare models and approaches
- Analyze results and iterate quickly to improve performance and robustness
- MLOps & deployment
- Package and deploy models to production (APIs, batch jobs, streaming)
- Implement CI/CD for ML, versioning of data/models, and reproducible training
- Monitoring & maintenance
- Set up monitoring for drift, performance, latency, cost, and failures
- Retrain, recalibrate, or roll back models as data and business conditions change
- Keeps abreast of improvements in software techniques and develop some improvements on own
- Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs
ADDITIONAL CHARACTERISTICS –
- Independently performs assignments to achieve stated objective. Determines and develops approach to solutions
- Receives technical guidance only on unusual or complex problems or issues
- May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact
- Uses judgment and discretion to determine work priorities, receiving little instruction from others
At Manhattan, it’s about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members’ backgrounds, experiences and perspectives add to us as a whole and make us unique.
We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.
Skills Required
- 3+ years of experience in AI/ML development with production-level deployment
- Expert in Python and familiar with core ML/DL frameworks
- Strong experience developing AI-driven workflows with Microsoft Copilot, Glean, and Google Agentspace
- Experience with cloud services like AWS, GCP, Azure
- Experience with containerization using Docker and Kubernetes
- Strong experience with MLOps tools like MLflow, DVC, Airflow
Manhattan Associates Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manhattan Associates and has not been reviewed or approved by Manhattan Associates.
-
Fair & Transparent Compensation — Pay is generally characterized as on par with industry standards and often described as fair or above average, with stronger competitiveness in certain roles and at higher seniority. The overall picture suggests a “solid but not standout” base-compensation experience that can feel better when variable pay or role leverage is higher.
-
Wellbeing & Lifestyle Benefits — Well-being programs are positioned as a notable strength, including mental-health resources and support tools such as Headspace access, an EAP, and financial-wellness offerings. These lifestyle-oriented extras appear to elevate the perceived total rewards value beyond salary alone.
-
Parental & Family Support — Family-support benefits are highlighted through caregiving assistance (e.g., Care.com access) and the presence of maternity and paternity/partner leave. The existence of dedicated family and caregiver support contributes positively to the overall benefits perception.
Manhattan Associates Insights
What We Do
For more than 30 years we have earned a reputation for building technology solutions that solve the most complex business problems in supply chain, inventory and omnichannel.
.png){kind=logo}
