https //alliedsolutions.wd501.myworkdayjobs.com/en-US/Allied_External/job/Senior-AI-Architect_R-010462
For JD, please refer to this link
For JD, please refer to this link
Title: Senior AI Architect
Location: Carmel IN (5 days a week onsite role) (Local candidates preffred)
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. Successful performance requires strong systems thinking, business-facing communication, solution architecture discipline, and practical hands-on experience with AI/ML, GenAI/LLMs, automation, integration patterns, and modern software engineering
Job Duties and Responsibilities:
Enterprise AI Solution Architecture & Design - 55%
- 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.
- Translate business context into technical assumptions, solution options, architectural tradeoffs, implementation considerations, and readiness recommendations
- Shape practical AI-enabled workflow concepts that move work from manual execution, rules-heavy processes, and exception-driven operations toward intelligent systems with human oversight, feedback loops, and continuous improvement.
- 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
- Evaluate and recommend appropriate AI and automation solution patterns, including traditional machine learning, predictive models, optimization, generative AI, retrieval-augmented generation, agentic workflows, workflow automation, rules-based components, or hybrid approaches based on business need, data readiness, feasibility, risk, scalability, and maintainability
- 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.
Hands-On Prototyping, Technical Validation & Delivery Enablement - 30%
- 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
- Evaluate AI services, frameworks, platforms, orchestration patterns, model evaluation approaches, vector databases, integration approaches, and automation tools where needed to establish practical, reusable solution patterns
- Support early implementation, design reviews, code reviews, and complex troubleshooting when ambiguity, integration complexity, model behavior, security, responsible AI requirements, or emerging AI capabilities require senior technical judgment.
- Mentor engineers, analysts, and business partners through hands-on collaboration, technical coaching, and practical decision support
AI Architecture Standards, Reuse & Continuous Improvement - 15%
- Establish and evolve reusable AI architecture standards, reference architectures, implementation patterns, and design playbooks that improve consistency, reduce one-off experimentation, and accelerate delivery.
- Define practical architecture guidance for responsible AI, including privacy, transparency, explain-ability, auditability, human oversight, exception handling, and model lifecycle considerations
- Create reusable practices for solution evaluation, monitoring, feedback loops, model performance review, operational support, and continuous improvement
- Assess emerging AI/ML, GenAI, agentic AI, automation, and cloud capabilities for practical application within Allied's enterprise architecture and operating model
- Capture lessons learned, patterns, anti-patterns, and implementation guidance from delivery work and translate them into reusable standards, architecture reviews, and team enablement materials
Qualifications (Education, Experience, Certifications & KSA):
- Bachelor's degree in Computer Science, Data Engineering, or a related technical discipline required. Master's degree preferred.
- 10+ years of software engineering or architecture experience, with at least 5 years in AI/ML architecture and solution leadership.
- 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, cycle 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.
- 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.
- Enterprise architecture certification (e.g., TOGAF, Zachman) is a plus.
- Strong organizational skills and attention to detail.
- Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required.