Solutions Architect - 211

DSM-H Consulting; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

DSM-H Consulting is seeking a Senior Enterprise Architect to own and drive architecture across large-scale distributed systems. You will define scalable, secure platform architectures and guide engineering teams through complex decisions.

Responsibilities include establishing standards, documenting trade-offs, and evolving the platform for productivity and cost efficiency. Remote-ready with preference for Chicago area and onsite 2x weekly.

Qualifications

• Bachelor’s degree with 5+ years of architecture experience.
• Strong programming background in Python and Java.
• Experience designing large-scale, distributed systems with cloud-native architectures.

Responsibilities

• Own and define solution and platform architectures for large-scale, distributed systems.
• Create architecture that meets scalability, performance, resilience, and security standards.
• Mentor engineering teams to ensure high-quality implementations.

Skills

Architectural Thinking

Technical Leadership

Communication

Requirements Analysis

Platform Architecture

Python

Java

AWS

Docker

Kubernetes

Data Modeling

DevOps

API Design

AI/ML Integration

Education

Bachelor's degree in a relevant field

Tools

AWS

Docker

Kubernetes

Job description

Own and define 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.

Partner closely 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.

Interaction with team:

- Team consists of 18 folks.

Work environment:

- 100% remote if they are residing in the US however, preferred location is in Chicago or Peoria area and expected to be in office 2x days a week.

Education & Experience Required:

- Bachelor’s degree with 5+ years experience in this capacity

Required Technical Skills

(Required)

Architectural Thinking: Ability to decompose complex problem spaces and develop pragmatic architecture options with clearly articulated trade offs.

Technical Leadership: Influence without authority; guide teams through architectural decisions and implementation challenges.

Communication: Clearly articulate complex technical concepts to both technical and non technical stakeholders.

Requirements Analysis: Translate business and non functional requirements into scalable technical designs.

Platform & Application Architecture: Strong foundation in designing modern application and platform architectures using established patterns and standards.

Consideration for top candidates:

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 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 to business goals.

AI Related Skills:

Document preprocessing and chunking strategies

Vectorization and embedding models

Query time retrieval, ranking, and context assembly

Deep understanding of embedding techniques, similarity search, and trade offs across:

Chunk size and overlap

Latency vs. recall vs. cost

Experience with vector databases and search layers (e.g., managed or self hosted vector stores) and their integration into application architectures.

Experience with Agentic Frameworks

Ability to architect end to end AI workflows, including:

Prompt design and prompt versioning

Context management and memory patterns

Model routing and fallback strategies

Knowledge of LLM lifecycle considerations, including:

Evaluation, monitoring, and drift detection

Strong understanding of AI system non functional requirements, including:

Performance and latency optimization

Cost controls and token efficiency

Security, data privacy, and guardrails

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.