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Implementation Architect Jobs (NOW HIRING)

Perficient

Databricks Solutions Architect

Saint Louis, MO · On-site

$59 - $77.75/hr

Design and implement analytical data models and star schemas for BI and AI consumption. * Provide architectural assessments, strategies, and roadmaps for one or more technological domains. * Work ...

IMC

HPC Systems Architect

Chicago, IL · On-site

$200K - $225K/yr

Architect and oversee the implementation of advanced HPC systems tailored to high-impact applications, including machine learning workloads * Integrate cutting-edge technologies to enhance ...

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Implementation Architect information

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$56.5K

$98.3K

$138K

How much do implementation architect jobs pay per year?

As of Sep 9, 2026, the average yearly pay for implementation architect in the United States is $98,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is an implementation architect?

Implementation Architects are professionals who design and oversee the deployment of technology solutions within organizations. They work closely with clients, project managers, and development teams to ensure that systems are implemented according to business requirements and technical specifications. Their responsibilities include creating architecture blueprints, defining integration strategies, and troubleshooting issues during implementation. Implementation Architects also ensure that new systems are scalable, secure, and align with industry best practices.

What are the key skills and qualifications needed to thrive as an implementation architect?

To thrive as an Implementation Architect, you need a strong background in systems architecture, solution design, and project management, often supported by a degree in computer science or a related field. Familiarity with enterprise software platforms, integration tools (such as APIs and middleware), and certifications like TOGAF or AWS Solutions Architect are commonly required. Excellent communication, problem-solving, and stakeholder management skills help bridge gaps between technical teams and business clients. These skills ensure effective solution delivery, alignment with client needs, and successful project outcomes in complex IT environments.

What are some common challenges implementation architects face when aligning technical solutions with client business goals?

Implementation Architects often encounter challenges in translating complex business requirements into scalable technical solutions while ensuring stakeholder alignment. Balancing client expectations with technical feasibility, managing evolving project scopes, and integrating new systems with legacy infrastructure are frequent hurdles. Strong communication and collaboration with cross-functional teams are essential to address these challenges effectively. Additionally, Implementation Architects must stay adaptable and proactive to anticipate and resolve issues as projects progress.

What is the difference between Implementation Architect vs Solution Architect?

AspectImplementation ArchitectSolution Architect
CredentialsTypically requires certifications like TOGAF, PMP, or cloud certificationsOften holds certifications like TOGAF, AWS, Azure, or cloud-specific credentials
Work EnvironmentFocuses on executing and managing the implementation of solutions within projectsDesigns and architects overall solutions, aligning business needs with technical architecture
Employer & Industry UsageCommon in IT consulting, enterprise software, and large tech projectsUsed across industries for designing complex systems and enterprise solutions

The Implementation Architect primarily focuses on executing and managing the deployment of technical solutions, ensuring projects are delivered effectively. In contrast, the Solution Architect designs the overall system architecture, aligning technical solutions with business goals. Both roles require similar certifications and are integral in large-scale IT projects, but their core responsibilities differ in scope and focus.

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Implementation Architect jobs near you
Infographic showing various Implementation Architect job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $98,263 per year, or $47.2 per hour.

Tech Lead / Lead Architect - RAG & Agentic AI Urgent Need

Columbus, OH • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$125 - $150/hr

Other

Posted 22 days ago

Job description

Tech Lead / Lead Architect - RAG & Agentic AI

Location: Columbus, OH / Wilmington, DE - 3 days onsite role

Long Term Project

Strong financial and banking domain experience required.

Role Summary

Lead architecture, design, and delivery of Agentic AI and RAG-based solutions, partnering with customers and internal teams to build scalable, secure, and high-impact AI systems.

Must-Have
  • Strong experience in RAG pipelines, embeddings, vector DBs, LLM orchestration, and prompting techniques.
  • Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets Manager).
  • Ability to design end-to-end AI architecture and build PoCs before committing solutions to customers.
  • Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud security patterns.
  • Proven ability to lead from the front, mentor teams, and own delivery under tight timelines and high visibility.
  • Strong customer communication skills - ability to explain architecture, trade-offs, and risks clearly.
  • Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems.
  • Expertise in API design, microservices integration, and event-driven architectures for AI systems.
Good-to-Have
  • Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
  • Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
  • Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.
Screening Checklist (Quick Evaluation for Interviews)

Technical Fit:

  • Can clearly explain a RAG architecture (data ingestion -> embedding -> retrieval -> generation)
  • Has built or deployed production AI/LLM solutions (not just POCs)
  • Understands agent lifecycle, orchestration, and tool integrations
  • Demonstrates AWS architecture + security (IAM roles, network isolation, secrets)
  • Knows prompt engineering + evaluation + guardrails implementation

Architect & Leadership Fit:

  • Has led architecture/design discussions with customers
  • Can drive PoC -> production transition independently
  • Shows ownership mindset (decision-making without dependency)
  • Can mentor/coach developers and review designs/code

Communication & Behavioral Fit:

  • Explains complex AI topics in simple, structured way
  • Asks insightful, strategic questionsDemonstrates ability to handle ambiguity and pressure
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