Solutions Architect

The role involves owning the end-to-end architecture solutions for complex systems, focusing on scalability, performance, security, and rapid delivery. The position demands strong technical depth, architectural judgment, and the ability to translate ambiguous business needs into durable, scalable solutions., * Define and own solution and platform architectures for large-scale, distributed systems from concept through production.

• Create architecture that meets high standards for scalability, performance, resilience, and security.
• Collaborate with business leaders, product owners, engineering managers, and delivery teams to ensure architectural alignment with business outcomes.
• Assess, select, and introduce new technologies, including proof of concept development and architectural spikes.
• Establish and enforce architectural standards, patterns, and best practices across platform teams.
• Provide architectural guidance and mentorship to engineering teams, ensuring high-quality implementation.
• Ensure solutions meet security, compliance, and regulatory requirements.
• Produce and maintain clear architecture documentation, including rationale and trade-offs.
• Continuously evolve platform architecture to improve developer productivity, system reliability, and cost efficiency.

• Bachelor’s degree with 5 years of experience in a similar capacity.
• Ability to decompose complex problem spaces and develop pragmatic architecture options with clearly articulated trade-offs.
• Influence without authority; guide teams through architectural decisions and implementation challenges.
• Clearly articulate complex technical concepts to both technical and non-technical stakeholders.
• Translate business and non-functional requirements into scalable technical designs.
• Strong foundation in designing modern application and platform architectures using established patterns and standards., * Experience defining AI reference architectures and standards for enterprise adoption.
• Ability to explain and defend architectural trade-offs between classical ML, LLM-based approaches, and non-AI solutions.
• Proven experience taking AI systems from proof of concept to scaled production use.
• Strong programming background in Python and Java, with the ability to reason at the code level.
• Proven experience designing and building enterprise-scale, distributed systems.
• Hands-on experience with cloud-native architectures, including AWS services, containerization, and orchestration (Docker, Kubernetes).
• Deep understanding of data architecture: SQL and NoSQL databases, data warehouses (Snowflake specifically), data modeling, replication, and sharding.
• Experience with modern DevOps practices: CI/CD, infrastructure as code, observability, and automated testing.
• Strong API design experience (REST, GraphQL, gRPC), including versioning and documentation.
• Ability to evaluate and introduce emerging technologies aligned with business goals.
• Hands-on experience designing Retrieval Augmented Generation (RAG) architectures.
• Experience with vector databases and search layers and their integration into application architectures.
• Experience with Agentic Frameworks.
• Ability to architect end-to-end AI workflows, including prompt design and prompt versioning.
• Knowledge of LLM lifecycle considerations, including model selection, fine-tuning, and evaluation.
• Strong understanding of AI system non-functional requirements, including performance and latency optimization, cost controls, and security.
• Experience integrating AI capabilities into existing enterprise platforms via APIs and event-driven architectures.
• Ability to assess, prototype, and productionize emerging AI technologies aligned to business use cases.

Pay Transparency: The typical base pay for this role across the U.S. is: $72.00 - $73.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.