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AI/ML Engineer & Architect
Baltimore, MarylandPosition Overview
We are seeking a hands-on AI/ML Engineer & Architect with strong technical expertise in building and integrating AI/ML solutions within enterprise applications. The ideal candidate will combine engineering depth with architectural understanding—capable of fine-tuning models, designing intelligent workflows, and integrating AI capabilities into existing business applications.
This position is hybrid, requiring occasional on-site collaboration in Texas.
Key Responsibilities
Qualifications
Required Technical Skills
Soft Skills
Location: Hybrid – Texas (TX)
Employment Type: Full-time
We are seeking a hands-on AI/ML Engineer & Architect with strong technical expertise in building and integrating AI/ML solutions within enterprise applications. The ideal candidate will combine engineering depth with architectural understanding—capable of fine-tuning models, designing intelligent workflows, and integrating AI capabilities into existing business applications.
This position is hybrid, requiring occasional on-site collaboration in Texas.
- Design, develop, and deploy AI/ML workflows integrated with core business applications.
- Perform fine-tuning of machine learning models and support the creation of reusable, scalable AI solutions.
- Implement AI-driven architectures leveraging AWS cloud services such as Lambda, RDS, SageMaker, and Bedrock.
- Collaborate with business and technical teams to identify AI use cases and deliver production-ready solutions.
- Develop and manage end-to-end MLOps pipelines and automation for data ingestion, model training, and deployment.
- Evaluate and integrate pre-trained and third-party models into enterprise systems to enhance automation and intelligence.
- Provide technical leadership, mentoring, and guidance on best practices for AI/ML implementation and architecture.
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred or equivalent experience).
- 10+ years of progressive, hands-on experience in application development and engineering.
- 5–6 years of experience in solution architecture, systems engineering, or AI-related disciplines.
- Proven experience leading technical teams and delivering enterprise-scale AI/ML projects.
- Minimum 5 years of experience with cloud platforms (AWS or Azure).
- Familiarity with architecture principles and frameworks such as TOGAF is a plus.
- AWS AI/ML Professional Certification is highly desirable.
- Proven track record of implementing machine learning and AI solutions in production environments.
- Strong experience with AWS services (Lambda, SageMaker, Bedrock, RDS, API Gateway, etc.).
- Solid programming skills in Python, Spark, or R.
- Understanding of AI services for speech, vision, and text, including generative AI.
- Deep knowledge of machine learning algorithms, data pipelines, and statistical modeling.
- Expertise in MLOps/DataOps lifecycles, deployment, and monitoring.
- Experience integrating AI models into enterprise applications and APIs.
- Excellent written and verbal communication skills; ability to translate complex ideas into clear, concise messages.
- Strong collaboration and interpersonal skills—able to work effectively with cross-functional teams.
- Demonstrated ability to influence, negotiate, and facilitate discussions to drive alignment.
- Skilled in visual communication and storytelling to present AI concepts to non-technical audiences.
- Strategic thinker with strong problem-solving, analytical, and decision-making capabilities.
- Proven stakeholder management and relationship-building skills across customers, vendors, and internal teams.
Location: Hybrid – Texas (TX)
Employment Type: Full-time