Alliedsolutions

Alliedsolutions

Senior AI Architect

Carmel, IN · Senior

Sponsorship not specifiedDetected 30 days ago
Code ReviewDatabricksVector DatabasesAWSAzureMachine LearningData EngineeringLLMsRAGAgentic AIMLOpsA/B TestingCommunicationCollaborationMentoringOrganizational Skills

About the role

  • The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.
  • Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.

Responsibilities

  • Partner with the AI Portfolio & Product Manager, business leaders, operations leaders, product owners, and subject matter experts to understand current-state workflows, pain points, decision points, system constraints, data availability, integration needs, and desired business outcomes.
  • Assess prioritized or emerging AI opportunities for technical feasibility, data readiness, architecture implications, integration complexity, security, governance, operational support, and delivery risk.
  • Define enterprise-grade architecture for AI-enabled solutions, including business process fit, data needs, AI/model approach, system interactions, integration patterns, security, human oversight, monitoring, and operational support
  • Create solution artifacts such as target-state workflows, context diagrams, data flows, decision flows, integration designs, and architecture decision records
  • Design solutions for scalability, reliability, observability, privacy, compliance, supportability, responsible AI guardrails, and long-term operational ownership
  • Collaborate with enterprise architecture, data architecture, security, compliance, and governance stakeholders to align AI solutions with enterprise standards and delivery expectations.
  • Build or directly contribute to proofs-of-concept, prototypes, technical spikes, and reference implementations to validate feasibility, test assumptions, compare approaches, and de-risk delivery.
  • Translate architecture decisions into practical implementation guidance, reusable patterns, sample components, and working examples that AI Engineers and delivery partners can build from
  • Mentor engineers, analysts, and business partners through hands-on collaboration, technical coaching, and practical decision support
  • Enterprise AI Solution Architecture & Design - 55%

Requirements

  • 10+ years of software engineering or architecture experience, with at least 5 years in AI/ML architecture and solution leadership.
  • Prior experience contributing to AI governance frameworks or responsible AI initiatives.
  • Familiarity with enterprise security, data privacy laws, and risk management practices related to AI.
  • Azure Solutions Architect Expert, or similar credentials are preferred but not required.
  • Bachelor's degree in Computer Science, Data Engineering, or a related technical discipline required. Master's degree preferred.
  • Deep knowledge of AI/ML system design, including data pipelines, model lifePractical experience with LLM deployment, vector databases, RAG architecture, or similar emerging AI capabilities, c ycle management, MLOps, and cloud-native deployments.
  • Strong expertise with platforms such as Azure Machine Learning, AWS SageMaker, Google Vertex AI, Databricks, and OpenAI APIs.
  • Demonstrated experience leading cross-functional teams and influencing enterprise-wide architecture decisions.
  • Strong organizational skills and attention to detail.
  • Relevant certifications such as

Nice to have

  • Bachelor's degree in Computer Science, Data Engineering, or a related technical discipline required.
  • Master's degree preferred.
  • Enterprise architecture certification (e.g., TOGAF, Zachman) is a plus.
  • Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required.

Skills

  • They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.

Compensation

  • We offer our employees a robust compensation package!

Benefits

  • The Senior AI Architect is a responsible for shaping the enterprise-wide AI architecture vision and driving the design of scalable, ethical, and high-impact AI solutions.
  • Our comprehensive benefits include:
  • medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more.

Company info

  • We offer our employees a robust compensation package!
  • Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels.
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