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Senior Enterprise Application Architect
Mindlance
🇺🇸 United States
Hybrid
Senior
8 months ago
- AI
- AWS
- Salesforce
- ServiceNow
- EC2
- RDS
- API Gateway
- Java
- Python
- Agile
- Devops
8 months ago
Position Summary:
Title : Senior Enterprise Application Architect
Duration: 6 Months - Long Term
Location: Washington, DC 200005
Hybrid Onsite: 2/3 Days onsite per week from Day1
The overall purpose of position:
The Senior Enterprise Application Architect is responsible for assisting the Information Technology team with creating solutions and validating technology architecture for upcoming prioritized projects.
- Analyze current systems, identify opportunities for AI-driven innovation, and recommend enhancements or improvements to optimize business operations, improve efficiency, and drive value.
Scope of work:
- Collaborate with internal and contractor teams to evaluate existing systems, processes, and workflows to identify areas of improvement.
- Ensure seamless integration of new solutions with existing systems and infrastructure.
- Assist with architecture and framework design tailored to meet business needs.
- Provide strategic recommendations for AI adoption, including identifying use cases, tools, and technologies.
- Suggest enhancements or improvements to existing systems and recommend AI capabilities where applicable.
- Partner with business stakeholders, developers, and project managers to gather requirements and translate them into technical solutions.
- Provide technical leadership and mentorship to development teams, ensuring adherence to architectural best practices and standards.
- Act as a liaison between technical teams and business units to ensure alignment on project goals and deliverables.
- Validate architectural designs for new projects to ensure they meet performance, scalability, and security requirements.
- Conduct proof-of-concept (PoC) initiatives to test and validate new technologies, including AI models and AWS services.
- Communicate complex AI concepts and solutions, where applicable, to non-technical stakeholders.
- Monitor the performance of systems and continuously optimize them for accuracy, efficiency, and effectiveness.
- Proactively suggest enhancements and improvements to existing systems and processes to drive efficiency and business value.
- Stay updated on the latest advancements in AI technologies and methodologies to be able to effectively leverage AI for recommending improved solutions.
Essential skills:
- Strong expertise in designing and architecting solutions on platforms such as AWS, Appian, Salesforce and ServiceNow.
- Proficiency in cloud architecture, including AWS services such as Lambda, EC2, S3, RDS, and API Gateway.
- Proficiency in implementing applications involving Java, Python, R, Databases.
- Solid understanding of application design, data engineering and data modelling.
- Strong analytical and problem-solving skills with the ability to translate business challenges into effective solutions, aided by AI as applicable.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
Qualification and experience:
- Ten (10) or more years of designing, architecting and implementing applications.
- Experience in designing and implementing solutions that leverage AI.
- Knowledge of ethical AI principles and practices.
- Deep understanding of agile methodologies and DevOps practices.
- Strong project management and organizational skills.
- Ability to work in a fast-paced, dynamic environment.
Education:
- Bachelor’s degree (Masters Preferred) with a strong academic record.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Senior Enterprise Application Architect · Mindlance