AI Solutions Software Developer
$90,000-$150,000 annually
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Posted 12 days ago
SENIORITY
Lead
SALARY
$90,000-$150,000 annually
About the role
- Serve as a credible AI expert in client meetings, conferences, proposal interviews, internal strategy sessions, and cross business unit discussions.
- Develop reusable AI solutions, demo concepts, reference architectures, use case libraries, discovery templates, proposal language, and delivery playbooks.
- Develop business cases that define expected benefits such as productivity improvement, cost reduction, cycle time reduction, service quality improvement, accuracy improvement, user adoption, and return on AI investment.
- Use machine learning, natural language processing, OCR, automation, Generative AI, and model-integration techniques to support project delivery
- Evaluate whether a use case is best solved through deterministic automation, traditional software logic, analytics, machine learning, generative AI or third-party products.
- Design and maintain integration patterns for third-party AI models, APIs, enterprise platforms, and software tools.
- Support AI governance, model evaluation, data handling, security review, human-in-the-loop validation, responsible AI documentation, and client data-permission considerations.
- Support Microsoft Azure-based data and application development, including SQL Server, Azure Data Lake Storage, identity and access management, backend deployment, Azure Data Factory, Databricks, and DevOps workflows as applicable.
- Participate in client needs analyses, scope of work development, estimate development, project planning, design reviews, progress meetings, and operational discussions.
- Work in close coordination with leadership, account leads, project managers and client resources.
- Translate business requirements into software specifications, data requirements, architecture notes, workflow diagrams, and implementation tasks.
- Build and manage data pipelines from diverse sources
- Perform other such duties as the supervisor may from time to time deem necessary.
- B.S. or B.A. in Computer Science, or IT-related discipline.8-15+ years of overall Software Development experience.
- Experience with Python programming and development of maintainable, well-documented code.
- Experience with SQL, relational database concepts, and efficient database design.
- Experience building RAG systems, Prompt engineering, Data processing
- Knowledge on AI Best practices, Evaluation techniques and Quality control strategies.
- Experience with Structured and unstructured data ingestion, cleaning, transformation, and processing.
- Experience developing Data pipelines for analytical, application, dashboard, or model workflows.
- Experience with applied machine learning, model integration, AI-enabled automation, or analytical modeling.
- Experience with AI front-end development and deployment using web application services or containers
- Microsoft Azure experience preferred, including SQL Server, Azure Data Lake Storage, Azure IAM / Active Directory, Azure Data Factory, Databricks, and backend deployment patterns.
- Experience with DevOps practices, version control, application deployment, CI/CD concepts, and development lifecycle management preferred.
- Experience with Google cloud, AWS and other cloud environments is a plus.
- Experience in MLOps, model deployment, model monitoring, and model lifecycle management preferred.
- Experience with tools such as PyTorch, Tensor Flow, Keras, Scikit-Learn and XG Boost
- Experience designing, building and deploying OCR Solutions
- Experience with Power BI, Tableau, or similar dashboarding and reporting tools preferred.
- Strong technical writing, analytical, graphical, and communication skills essential, including ability to present concepts verbally.
- Ability to develop proposal narratives, technical approaches, solution concepts, client presentations, and differentiators for AI related pursuits.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
