Solutions Architect

• Shape the firm’s technology landscape by partnering with key stakeholders to design solution architectures for analytical solutions
• Create a holistic view of AI solutions architecture aligned with business objectives
• Provide strategic technical leadership and drive architecture standards
• Ensure solutions are scalable, secure, and future-ready
• Define and maintain enterprise AI architecture standards, reference architectures, governance frameworks, and best practices
• Partner with business and technology leaders to design and deliver AI-enabled capabilities
• Establish and enforce AI governance, security, privacy, compliance, and responsible AI standards
• Develop AI technology roadmaps and evaluate emerging AI tools, platforms, models, and industry trends
• Lead architecture reviews and align AI initiatives with enterprise architecture, security, and governance requirements
• Design, implement, and oversee enterprise AI solutions using LLMs, RAG, AI Agents, vector databases, and modern AI frameworks
• Translate business requirements into scalable, secure, and cost-effective AI architectures and technical solutions
• Optimize AI systems for token efficiency, context management, retrieval relevance, response quality, performance, and cost
• Establish LLMOps practices for deployment, evaluation, monitoring, observability, testing, and lifecycle management
• Define and implement AI evaluation frameworks measuring accuracy, relevance, grounding, latency, and business outcomes
• Provide technical leadership and mentorship on AI architecture, prompt engineering, agentic systems, AI security, and operational best practices

Requirements

• 6 years relevant experience required
• Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree
• Excellent interpersonal skills and ability to communicate at all levels
• Strong problem-solving and creative skills
• Ability to exercise sound judgment
• High level of integrity and dependability
• Strong sense of urgency and results orientation
• Ability to develop and maintain enterprise architecture frameworks and standards
• Expertise designing scalable, secure, and integrated technology solutions
• Skilled in building data pipelines and enabling analytics solutions
• Proficiency in cloud platforms such as AWS, Azure, or GCP and hybrid architectures
• Strong knowledge of system integration patterns and API design
• Understanding of security principles, risk management, and regulatory compliance
• Ability to enforce standards and produce clear architectural documentation

Demonstrates expertise in designing scalable, secure AI architectures and implementing enterprise AI solutions while ensuring compliance with governance and security standards. Provides strategic technical leadership and mentorship in AI technologies and frameworks.

Highest-signal resume keywords

• AI Architecture Design
• Cloud Platforms (AWS, Azure, GCP)
• Enterprise Architecture Frameworks
• AI Governance and Compliance
• Data Pipeline Development

ATS Optimization Keywords

Hard Skills

• AI Solutions Architecture
• System Integration Patterns
• API Design
• Token Efficiency Optimization
• LLMOps Practices
• Prompt Engineering
• Analytics Solutions
• Technical Documentation
• Risk Management
• Emerging AI Tools Evaluation

Soft Skills

• Interpersonal Skills
• Problem-Solving Skills
• Sound Judgment
• Integrity and Dependability
• Results Orientation

Industry Keywords

• AI Governance
• Security Principles
• Regulatory Compliance
• Hybrid Architectures
• Business Objectives Alignment