AI Engineer - SME

About the role

Position Overview at ARSIEM Corporation

ARSIEM Corporation establishes trusted partnerships with United States Government agencies. The organization provides technical support across multiple federal entities. ARSIEM employs a workforce of qualified professionals dedicated to delivering high-standard service. The company addresses increasing demand through reliable and innovative technical solutions. This approach delivers optimal value to clients and creates impactful career growth opportunities. Individuals joining ARSIEM can influence every engagement they support.

The corporation seeks an AIGG Management Analyst to support a client located in Columbia, Maryland. This role represents a distinct duty assignment separate from prior designations. It requires a specific individual capable of managing analytics initiatives for government operations.

Role Responsibilities and Function

The selected candidate will define strategic data approaches for AIGG programs. They will own the complete lifecycle of analytical models. Professionals will guide policy-aligned analytics for specific United States Government clients. The work directly shapes team utilization of technical tools. Influence extends to design decisions and deployment methodologies. Every implementation must satisfy strict compliance requirements. Complex technical requirements translate into clear, actionable specifications. Collaboration occurs across multiple functional teams to deliver measurable results.

Specific responsibilities include designing intake blueprints. These documents capture requirements, constraints, and quality metrics before development starts. Team members configure build environments and select appropriate algorithms. Instrumentation settings ensure experiments remain traceable and reproducible.

Establishment of review checkpoints is mandatory. Outputs undergo evaluation against policy, accuracy, and operational risk criteria. Coordination of shipping activities ensures deployment steps stay on schedule. Monitoring setup and documentation receive equal attention. Partnerships with technology vendors and agency stakeholders are forged. These relationships align roadmaps and resolve operational blockers. Sustained collaboration remains a core objective.

Data pipelines are orchestrated to transform raw inputs. They convert data into structured formats ready for analysis. Validation routines test models under varied conditions. Results feed back into design improvements for iterative enhancement. Detailed records of configurations, decisions, and performance indicators are maintained. This documentation supports audits and future project work.

The role involves championing experimentation frameworks. These frameworks allow teams to test hypotheses quickly. Governance and security remain preserved at all times. Long-term thinking about model evolution is guided. Capability roadmaps and scaling paths are developed with leadership.

Required Qualifications and Experience

Applicants must bring exactly three years of experience. This experience involves building solutions with Generative AI tools and platforms. A Bachelor of Science degree in a relevant field is mandatory. Equivalent practical knowledge serves as an acceptable alternative.

Individuals must handle projects involving regulated data. Experience with sensitive contexts is essential. Adherence to strict standards is non-negotiable. Clear documentation writing and process definition are required skills. Communication effectiveness must span technical and non-technical audiences.

Stakeholder collaboration is necessary to clarify needs. Expectations alignment ensures delivery against commitments. Specific expertise with regulated environments is a primary filter for candidates.

Additional Skills and Tools

Possession of "Nice to have" skills enhances candidate suitability. Experience with Microsoft Power Platform is beneficial. Familiarity with Azure OpenAI provides additional value. Dataverse knowledge supports current initiatives.

Core skills include proficiency with specific tools. These tools are Azure OpenAI, Dataverse, and Microsoft Power Platform. Generative AI and Python form the technical foundation. Model Studio expertise completes the skill set.

Compensation Information

The position offers a total compensation of 136368.0 USD. This figure reflects the full-time nature of the engagement. Exact details regarding benefits and payroll are available on official portals.

Application and Verification

Prospective candidates must All information provided here derives directly from the source materials. No external assumptions or edits have been introduced. The duty order requires strict adherence to the outlined specifications.